{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "[![Dataflowr](https://raw.githubusercontent.com/dataflowr/website/master/_assets/dataflowr_logo.png)](https://dataflowr.github.io/website/)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "GPfXTpAXB6MI"
   },
   "source": [
    "# Predicting Engine Failure with RNN\n",
    "\n",
    "In this practicals, the goal is to predict the failure of an engine. The training dataset is made of time series obtained from several sensors on the engine until failure. The test dataset is made of the start of these time series and a failure date.\n",
    "\n",
    "We will build a simple RNN taking as input the multi-dimensional time serie characterizing the engine and learn its parameters to predict the time of failure at each instant. At the start, the best prediction without any input data should be the average of the failure times in the dataset and as more and more data is fed in the RNN, it should give a better and better estimate.\n",
    "\n",
    "The dataset is provided by [NASA](https://ti.arc.nasa.gov/tech/dash/groups/pcoe/prognostic-data-repository/#turbofan), see also [Kaggle](https://www.kaggle.com/datasets/suriyachayatummagoon/cmapssdata?select=Damage+Propagation+Modeling.pdf)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "egcRZderB6MK"
   },
   "outputs": [],
   "source": [
    "import torch\n",
    "import torch.nn as nn\n",
    "from matplotlib import pyplot as plt\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "from scipy.special import gamma\n",
    "from sklearn.preprocessing import MinMaxScaler\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "ZZD9lpogB6MP"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'1.13.1+cu116'"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "torch.__version__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "nCZo-JIUB6MT"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Using gpu: True \n"
     ]
    }
   ],
   "source": [
    "device = torch.device(\"cuda:0\" if torch.cuda.is_available() else \"cpu\")\n",
    "\n",
    "print('Using gpu: %s ' % torch.cuda.is_available())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "_tMC18fSB6MW"
   },
   "source": [
    "## 1. Downloading the data\n",
    "\n",
    "This need to be done only once!\n",
    "\n",
    "You can find the data on the website of the [NASA](https://ti.arc.nasa.gov/tech/dash/groups/pcoe/prognostic-data-repository/#turbofan) or on [Kaggle](https://www.kaggle.com/datasets/suriyachayatummagoon/cmapssdata?select=Damage+Propagation+Modeling.pdf) or on my website:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "6IUyhYERB6MX"
   },
   "outputs": [],
   "source": [
    "%mkdir data\n",
    "%cd data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "xX0tNgXvB6Ma"
   },
   "outputs": [],
   "source": [
    "!wget 'https://www.di.ens.fr/~lelarge/CMAPSSData.zip'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "4-R0S-6AB6Mc"
   },
   "outputs": [],
   "source": [
    "!unzip CMAPSSData.zip"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "bDsmGAAKB6Mf"
   },
   "outputs": [],
   "source": [
    "%cd .."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "jw7cICW_B6Mi"
   },
   "source": [
    "## 2. Loading the data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "LgNZ-5pzB6Mj"
   },
   "outputs": [],
   "source": [
    "def get_CMAPSSData(nb_file):\n",
    "    # get data from file and pre process it (normalization and convert to pandas)\n",
    "    dataset_train = pd.read_csv('./data/train_FD00{}.txt'.format(nb_file),\n",
    "                                sep=' ', header=None).drop([26, 27], axis=1)\n",
    "    dataset_test = pd.read_csv('./data/test_FD00{}.txt'.format(nb_file),\n",
    "                               sep=' ', header=None).drop([26, 27], axis=1)\n",
    "    test_truth = pd.read_csv('./data/RUL_FD00{}.txt'.format(nb_file),\n",
    "                             sep=' ', header=None).drop([1], axis=1)\n",
    "    col_names = ['id', 'cycle', 'setting1', 'setting2', 'setting3', 's1', 's2', 's3', 's4', 's5', 's6', 's7', 's8',\n",
    "                 's9',\n",
    "                 's10', 's11', 's12', 's13', 's14', 's15', 's16', 's17', 's18', 's19', 's20', 's21']\n",
    "    dataset_train.columns = col_names\n",
    "    dataset_test.columns = col_names\n",
    "    test_truth.columns = ['more']\n",
    "    test_truth['id'] = test_truth.index + 1\n",
    "    rul = pd.DataFrame(dataset_test.groupby('id')['cycle'].max()).reset_index()\n",
    "    rul.columns = ['id', 'max']\n",
    "    test_truth['rtf'] = test_truth['more'] + rul['max']\n",
    "    test_truth.drop('more', axis=1, inplace=True)\n",
    "    dataset_test = dataset_test.merge(test_truth, on=['id'], how='left')\n",
    "    dataset_test['ttf'] = dataset_test['rtf'] - dataset_test['cycle']\n",
    "    dataset_test.drop('rtf', axis=1, inplace=True)\n",
    "    dataset_train['ttf'] = dataset_train.groupby(['id'])['cycle'].transform(max) - dataset_train['cycle']\n",
    "    features_col_name = ['setting1', 'setting2', 'setting3', 's1', 's2', 's3', 's4', 's5', 's6', 's7', 's8',\n",
    "                         's9', 's10', 's11',\n",
    "                         's12', 's13', 's14', 's15', 's16', 's17', 's18', 's19', 's20', 's21']\n",
    "    target_col_name = 'ttf'\n",
    "    relevant_features_col_name = []\n",
    "    for col in features_col_name:\n",
    "        if not (len(dataset_train[col].unique()) == 1):\n",
    "            relevant_features_col_name.append(col)\n",
    "    sc = MinMaxScaler()\n",
    "    dataset_train[features_col_name] = sc.fit_transform(dataset_train[features_col_name])\n",
    "    dataset_test[features_col_name] = sc.transform(dataset_test[features_col_name])\n",
    "    return dataset_train, dataset_test, relevant_features_col_name, target_col_name\n",
    "\n",
    "\n",
    "def to_lists_of_tensors(dataset, features_col_name, target_col_name):\n",
    "    # take pandas df and convert it to list of tensors (for pytorch)\n",
    "    X, y = [], []\n",
    "    nb_sequences = max(dataset['id'])\n",
    "    for i in range(1, nb_sequences + 1):\n",
    "        df_zeros = dataset.loc[dataset['id'] == i]\n",
    "        df_one_x = df_zeros[features_col_name]\n",
    "        df_one_y = df_zeros[target_col_name]\n",
    "        X.append(torch.from_numpy(np.expand_dims(df_one_x.values, 1)).type(torch.FloatTensor))\n",
    "        y.append(torch.from_numpy(df_one_y.values).type(torch.FloatTensor))\n",
    "    return X, y\n",
    "\n",
    "\n",
    "def convert_train_and_test_to_appropriate_format(dataset_train, dataset_test, features_col_name, target_col_name):\n",
    "    # take 2 datasets (train and test and covert them to lists of tensors)\n",
    "    X_train, y_train = to_lists_of_tensors(dataset_train, features_col_name, target_col_name)\n",
    "    X_test, y_test = to_lists_of_tensors(dataset_test, features_col_name, target_col_name)\n",
    "    return X_train, y_train, X_test, y_test\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "4IJ-VFPXB6Ml"
   },
   "outputs": [],
   "source": [
    "%pycat ./data/readme.txt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "X-xRkXcQB6Mn"
   },
   "outputs": [],
   "source": [
    "dataset_train, dataset_test, features_col_name, target_col_name = get_CMAPSSData(1)\n",
    "X_train, y_train, X_test, y_test = convert_train_and_test_to_appropriate_format(dataset_train, dataset_test,\n",
    "                                                                                    features_col_name, target_col_name)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "uJoXsHBwB6Mq"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>cycle</th>\n",
       "      <th>setting1</th>\n",
       "      <th>setting2</th>\n",
       "      <th>setting3</th>\n",
       "      <th>s1</th>\n",
       "      <th>s2</th>\n",
       "      <th>s3</th>\n",
       "      <th>s4</th>\n",
       "      <th>s5</th>\n",
       "      <th>...</th>\n",
       "      <th>s13</th>\n",
       "      <th>s14</th>\n",
       "      <th>s15</th>\n",
       "      <th>s16</th>\n",
       "      <th>s17</th>\n",
       "      <th>s18</th>\n",
       "      <th>s19</th>\n",
       "      <th>s20</th>\n",
       "      <th>s21</th>\n",
       "      <th>ttf</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.459770</td>\n",
       "      <td>0.166667</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.183735</td>\n",
       "      <td>0.406802</td>\n",
       "      <td>0.309757</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.205882</td>\n",
       "      <td>0.199608</td>\n",
       "      <td>0.363986</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.713178</td>\n",
       "      <td>0.724662</td>\n",
       "      <td>191</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.609195</td>\n",
       "      <td>0.250000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.283133</td>\n",
       "      <td>0.453019</td>\n",
       "      <td>0.352633</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.279412</td>\n",
       "      <td>0.162813</td>\n",
       "      <td>0.411312</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.666667</td>\n",
       "      <td>0.731014</td>\n",
       "      <td>190</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>0.252874</td>\n",
       "      <td>0.750000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.343373</td>\n",
       "      <td>0.369523</td>\n",
       "      <td>0.370527</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.220588</td>\n",
       "      <td>0.171793</td>\n",
       "      <td>0.357445</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.166667</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.627907</td>\n",
       "      <td>0.621375</td>\n",
       "      <td>189</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>0.540230</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.343373</td>\n",
       "      <td>0.256159</td>\n",
       "      <td>0.331195</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.294118</td>\n",
       "      <td>0.174889</td>\n",
       "      <td>0.166603</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.573643</td>\n",
       "      <td>0.662386</td>\n",
       "      <td>188</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>0.390805</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.349398</td>\n",
       "      <td>0.257467</td>\n",
       "      <td>0.404625</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.235294</td>\n",
       "      <td>0.174734</td>\n",
       "      <td>0.402078</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.416667</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.589147</td>\n",
       "      <td>0.704502</td>\n",
       "      <td>187</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 27 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   id  cycle  setting1  setting2  setting3   s1        s2        s3        s4  \\\n",
       "0   1      1  0.459770  0.166667       0.0  0.0  0.183735  0.406802  0.309757   \n",
       "1   1      2  0.609195  0.250000       0.0  0.0  0.283133  0.453019  0.352633   \n",
       "2   1      3  0.252874  0.750000       0.0  0.0  0.343373  0.369523  0.370527   \n",
       "3   1      4  0.540230  0.500000       0.0  0.0  0.343373  0.256159  0.331195   \n",
       "4   1      5  0.390805  0.333333       0.0  0.0  0.349398  0.257467  0.404625   \n",
       "\n",
       "    s5  ...       s13       s14       s15  s16       s17  s18  s19       s20  \\\n",
       "0  0.0  ...  0.205882  0.199608  0.363986  0.0  0.333333  0.0  0.0  0.713178   \n",
       "1  0.0  ...  0.279412  0.162813  0.411312  0.0  0.333333  0.0  0.0  0.666667   \n",
       "2  0.0  ...  0.220588  0.171793  0.357445  0.0  0.166667  0.0  0.0  0.627907   \n",
       "3  0.0  ...  0.294118  0.174889  0.166603  0.0  0.333333  0.0  0.0  0.573643   \n",
       "4  0.0  ...  0.235294  0.174734  0.402078  0.0  0.416667  0.0  0.0  0.589147   \n",
       "\n",
       "        s21  ttf  \n",
       "0  0.724662  191  \n",
       "1  0.731014  190  \n",
       "2  0.621375  189  \n",
       "3  0.662386  188  \n",
       "4  0.704502  187  \n",
       "\n",
       "[5 rows x 27 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset_train.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "Bs3X-PShB6Mt"
   },
   "source": [
    "Here I have done the minimal preprocessing of the data using the [`MinMaxScaler`](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.MinMaxScaler.html) of sklearn to scale each feature in (0,1).\n",
    "\n",
    "`X_train` is a list where each element is of shape (length_of_sequence,1,number_of_sensors) where the second dimension with value 1 corresponds to the batch size. As in the course, we will not proceed sequences by batches but one after the other."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "02WrnXXEB6Mt"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "torch.Size([192, 1, 17])"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_train[0].shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "ayDGRokNB6Mw"
   },
   "source": [
    "## 3. WTTE-RNN model\n",
    "\n",
    "Here, we follow an approach inspired from this [blog](https://ragulpr.github.io/2016/12/22/WTTE-RNN-Hackless-churn-modeling/#wtte-rnn-produces-risk-embeddings).\n",
    "\n",
    "You first need to define a GRU (or LSTM) that will take as input a sequence of shape (length_of_sequence,1,number_of_sensors) and output a sequence of shape (length_of_sequence,2) obtained by passing the output of the GRU through a linear layer. As we want positive number, you will take the exponent."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "61SxB3gYB6Mw"
   },
   "outputs": [],
   "source": [
    "class GRUnet(nn.Module):\n",
    "    def __init__(self, dim_input, num_layers, dim_hidden, dim_output=2):\n",
    "        super(GRUnet, self).__init__()\n",
    "        #\n",
    "        # your code here\n",
    "        #\n",
    "        self.gru = nn.GRU(input_size = dim_input,\n",
    "                          hidden_size = dim_hidden, num_layers = num_layers)\n",
    "        self.hidden_to_two = nn.Linear(dim_hidden, dim_output)\n",
    "        \n",
    "\n",
    "    def forward(self, x):\n",
    "        #\n",
    "        # your code here\n",
    "        #\n",
    "        gru_output, _ = self.gru(x)\n",
    "        gru_output = gru_output.squeeze(1)\n",
    "        two_output = self.hidden_to_two(gru_output)\n",
    "        return torch.exp(two_output)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "ezsnVZjLB6Mz"
   },
   "source": [
    "Test your network"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "NQAWWJ_kB6Mz"
   },
   "outputs": [],
   "source": [
    "model = GRUnet(dim_input=len(features_col_name), num_layers=3, dim_hidden=50)\n",
    "model = model.to(device)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "DLlNMl69B6M2"
   },
   "outputs": [],
   "source": [
    "output = model(X_train[0].to(device))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "nJX0-hnjB6M4"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "torch.Size([192, 2])"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "output.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "AhHb7vleB6M7"
   },
   "source": [
    "In order to learn the parameters of your RNN, you need to specify a loss and we will here follow a standard approach in reliability theory: we model the failure time as a [Weibull random variable](http://reliawiki.org/index.php/The_Weibull_Distribution)\n",
    "\n",
    "$$\n",
    "\\mathbb{P}(X>t) = \\exp\\left( \\frac{t}{\\eta}\\right)^{\\beta},\n",
    "$$\n",
    "where $\\eta$ is the scale parameter and $\\beta$ is the shape parameter.\n",
    "\n",
    "Note that we have for the mean of a Weibull distribution:\n",
    "$$\n",
    "\\mathbb{E}[X] = \\eta \\Gamma(1+1/\\beta),\n",
    "$$\n",
    "where $\\Gamma$ is the [Gamma function](https://en.wikipedia.org/wiki/Gamma_function).\n",
    "\n",
    "In our case, we will interpret the 2 outputs of the RNN as estimates for the parameters $\\eta$ and $\\beta$. In order to design a loss, we compute the log-likelihood:\n",
    "\\begin{eqnarray*}\n",
    "\\log f(t) &=& \\log\\left( \\frac{\\beta}{\\eta}\\right) +(\\beta -1)\\log\\left(\\frac{t}{\\eta}\\right) -\\left(\\frac{t}\n",
    "{\\eta} \\right)^{\\beta}\\\\\n",
    "&=& \\log \\beta +\\beta \\log\\left(\\frac{t}{\\eta}\\right) -\\log t-\\left(\\frac{t}\n",
    "{\\eta} \\right)^{\\beta}\n",
    "\\end{eqnarray*}\n",
    "\n",
    "Define a loss function corresponding to the negative log-likelihood (add a small parameter $\\epsilon$ to $t$ in order not to compute $\\log 0$)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "mm7PPLLZB6M8"
   },
   "outputs": [],
   "source": [
    "class weibull_loss(nn.Module):\n",
    "    def __init__(self):\n",
    "        super(weibull_loss, self).__init__()\n",
    "        self.epsilon = 1e-6\n",
    "\n",
    "    def forward(self, output, y):\n",
    "        #\n",
    "        # your code here\n",
    "        #\n",
    "        ya = (y + self.epsilon) / (output[:, 0])\n",
    "        beta = output[:, 1]\n",
    "        likelihoods = torch.log(beta) + beta* torch.log(ya) - torch.log(y+self.epsilon)- ya ** beta\n",
    "        return -likelihoods.mean()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "AJEqkoBsB6M-"
   },
   "source": [
    "Test your loss function."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "QkyZMThqB6M-"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "tensor(73.4154, device='cuda:0', grad_fn=<NegBackward0>)"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "loss_fn = weibull_loss()\n",
    "loss_fn(output.squeeze(),y_train[0].to(device))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "VxdK_B1vB6NB"
   },
   "source": [
    "## 4. Training your model\n",
    "\n",
    "Code your taining and testing loops.\n",
    "\n",
    "You might want to use a scheduler like `torch.optim.lr_scheduler.ReduceLROnPlateau(optimizer, factor=0.5, patience=1, verbose='True',threshold=0.001)`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "nR1GA2KzB6NC"
   },
   "outputs": [],
   "source": [
    "def train_epoch(X_train, y_train, model, loss_fn, optimizer, device):\n",
    "    # train the model through the whole training dataset for one epoch\n",
    "    # return the corresponding loss on the epoch\n",
    "    #\n",
    "    # your code here\n",
    "    #\n",
    "    nb_train_sequences = len(y_train)\n",
    "    model.train()\n",
    "    losses = []\n",
    "    for k in range(nb_train_sequences):\n",
    "        X, y = X_train[k], y_train[k]\n",
    "        pred = model(X.to(device))\n",
    "        loss = loss_fn(pred.squeeze(), y.to(device))\n",
    "        optimizer.zero_grad()\n",
    "        loss.backward()\n",
    "        optimizer.step()\n",
    "        losses.append(loss.item())\n",
    "    return np.mean(losses)\n",
    "\n",
    "\n",
    "def test_epoch(X_test, y_test, model, loss_fn, device):\n",
    "    # evaluate the model through the whole testing dataset\n",
    "    # return the corresponding loss\n",
    "    #\n",
    "    # your code here\n",
    "    #\n",
    "    nb_test_sequences = len(y_test)\n",
    "    model.eval()\n",
    "    losses = []\n",
    "    for k in range(nb_test_sequences):\n",
    "        X, y = X_test[k], y_test[k]\n",
    "        pred = model(X.to(device))\n",
    "        loss = loss_fn(pred.squeeze(), y.to(device))\n",
    "        losses.append(loss.item())\n",
    "    return np.mean(losses)\n",
    "\n",
    "\n",
    "def fit(model, X_train, y_train, X_test, y_test, optimizer, loss_fn, nb_epochs, device):\n",
    "    # fit the model by training it nb_epochs times\n",
    "    # you might want to use a scheduler\n",
    "    #\n",
    "    # your code here\n",
    "    #\n",
    "    train_loss_t = []\n",
    "    test_loss_t = []\n",
    "    scheduler = torch.optim.lr_scheduler.ReduceLROnPlateau(optimizer, factor=0.5, patience=1, verbose='True',\n",
    "                                                           threshold=0.001)\n",
    "    for epoch in range(0, nb_epochs):\n",
    "        message1 = 'Epoch: {}/{}'.format(epoch + 1, nb_epochs)\n",
    "        print(message1)\n",
    "        train_loss = train_epoch(X_train, y_train, model, loss_fn, optimizer,device)\n",
    "        test_loss = test_epoch(X_test, y_test, model, loss_fn,device)\n",
    "        message2 = 'Train set: Average loss: {:.4f}\\n'.format(train_loss)\n",
    "        message3 = 'Test set: Average loss: {:.4f} - Learning rate : {:.4f}\\n'.format(test_loss,optimizer.param_groups[0]['lr'])\n",
    "        scheduler.step(test_loss)\n",
    "        train_loss_t.append(train_loss)\n",
    "        test_loss_t.append(test_loss)\n",
    "        print(message2)\n",
    "        print(message3)\n",
    "    return model, train_loss_t, test_loss_t"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "lBixgIwBB6NE"
   },
   "outputs": [],
   "source": [
    "model = GRUnet(dim_input=len(features_col_name), num_layers=3, dim_hidden=50,dim_output=2)\n",
    "model = model.to(device)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "lwYUv3t5B6NG"
   },
   "outputs": [],
   "source": [
    "optimizer = torch.optim.Adam(model.parameters(), lr=0.01)\n",
    "loss_fn = weibull_loss()\n",
    "nb_epochs = 50"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "1J8VDkBTB6NI"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch: 1/50\n",
      "Train set: Average loss: 7.7127\n",
      "\n",
      "Test set: Average loss: 6.3538 - Learning rate : 0.0100\n",
      "\n",
      "Epoch: 2/50\n",
      "Train set: Average loss: 5.5885\n",
      "\n",
      "Test set: Average loss: 5.7347 - Learning rate : 0.0100\n",
      "\n",
      "Epoch: 3/50\n",
      "Train set: Average loss: 5.4834\n",
      "\n",
      "Test set: Average loss: 5.6368 - Learning rate : 0.0100\n",
      "\n",
      "Epoch: 4/50\n",
      "Train set: Average loss: 5.4517\n",
      "\n",
      "Test set: Average loss: 6.6789 - Learning rate : 0.0100\n",
      "\n",
      "Epoch: 5/50\n",
      "Epoch 00005: reducing learning rate of group 0 to 5.0000e-03.\n",
      "Train set: Average loss: 5.8083\n",
      "\n",
      "Test set: Average loss: 5.6405 - Learning rate : 0.0100\n",
      "\n",
      "Epoch: 6/50\n",
      "Train set: Average loss: 5.4304\n",
      "\n",
      "Test set: Average loss: 5.6315 - Learning rate : 0.0050\n",
      "\n",
      "Epoch: 7/50\n",
      "Train set: Average loss: 5.3864\n",
      "\n",
      "Test set: Average loss: 5.4625 - Learning rate : 0.0050\n",
      "\n",
      "Epoch: 8/50\n",
      "Train set: Average loss: 5.2771\n",
      "\n",
      "Test set: Average loss: 5.3146 - Learning rate : 0.0050\n",
      "\n",
      "Epoch: 9/50\n",
      "Train set: Average loss: 5.1894\n",
      "\n",
      "Test set: Average loss: 5.3211 - Learning rate : 0.0050\n",
      "\n",
      "Epoch: 10/50\n",
      "Epoch 00010: reducing learning rate of group 0 to 2.5000e-03.\n",
      "Train set: Average loss: 5.1100\n",
      "\n",
      "Test set: Average loss: 5.3768 - Learning rate : 0.0050\n",
      "\n",
      "Epoch: 11/50\n",
      "Train set: Average loss: 5.0588\n",
      "\n",
      "Test set: Average loss: 5.3235 - Learning rate : 0.0025\n",
      "\n",
      "Epoch: 12/50\n",
      "Epoch 00012: reducing learning rate of group 0 to 1.2500e-03.\n",
      "Train set: Average loss: 5.0173\n",
      "\n",
      "Test set: Average loss: 5.3347 - Learning rate : 0.0025\n",
      "\n",
      "Epoch: 13/50\n",
      "Train set: Average loss: 4.9668\n",
      "\n",
      "Test set: Average loss: 5.2267 - Learning rate : 0.0013\n",
      "\n",
      "Epoch: 14/50\n",
      "Train set: Average loss: 4.9447\n",
      "\n",
      "Test set: Average loss: 5.2464 - Learning rate : 0.0013\n",
      "\n",
      "Epoch: 15/50\n",
      "Epoch 00015: reducing learning rate of group 0 to 6.2500e-04.\n",
      "Train set: Average loss: 4.9312\n",
      "\n",
      "Test set: Average loss: 5.2302 - Learning rate : 0.0013\n",
      "\n",
      "Epoch: 16/50\n",
      "Train set: Average loss: 4.8811\n",
      "\n",
      "Test set: Average loss: 5.1644 - Learning rate : 0.0006\n",
      "\n",
      "Epoch: 17/50\n",
      "Train set: Average loss: 4.8602\n",
      "\n",
      "Test set: Average loss: 5.1647 - Learning rate : 0.0006\n",
      "\n",
      "Epoch: 18/50\n",
      "Epoch 00018: reducing learning rate of group 0 to 3.1250e-04.\n",
      "Train set: Average loss: 4.8549\n",
      "\n",
      "Test set: Average loss: 5.1641 - Learning rate : 0.0006\n",
      "\n",
      "Epoch: 19/50\n",
      "Train set: Average loss: 4.8557\n",
      "\n",
      "Test set: Average loss: 5.1448 - Learning rate : 0.0003\n",
      "\n",
      "Epoch: 20/50\n",
      "Train set: Average loss: 4.8488\n",
      "\n",
      "Test set: Average loss: 5.1445 - Learning rate : 0.0003\n",
      "\n",
      "Epoch: 21/50\n",
      "Epoch 00021: reducing learning rate of group 0 to 1.5625e-04.\n",
      "Train set: Average loss: 4.8468\n",
      "\n",
      "Test set: Average loss: 5.1438 - Learning rate : 0.0003\n",
      "\n",
      "Epoch: 22/50\n",
      "Train set: Average loss: 4.8505\n",
      "\n",
      "Test set: Average loss: 5.1193 - Learning rate : 0.0002\n",
      "\n",
      "Epoch: 23/50\n",
      "Train set: Average loss: 4.8424\n",
      "\n",
      "Test set: Average loss: 5.1177 - Learning rate : 0.0002\n",
      "\n",
      "Epoch: 24/50\n",
      "Epoch 00024: reducing learning rate of group 0 to 7.8125e-05.\n",
      "Train set: Average loss: 4.8412\n",
      "\n",
      "Test set: Average loss: 5.1172 - Learning rate : 0.0002\n",
      "\n",
      "Epoch: 25/50\n",
      "Train set: Average loss: 4.8409\n",
      "\n",
      "Test set: Average loss: 5.1106 - Learning rate : 0.0001\n",
      "\n",
      "Epoch: 26/50\n",
      "Train set: Average loss: 4.8321\n",
      "\n",
      "Test set: Average loss: 5.1092 - Learning rate : 0.0001\n",
      "\n",
      "Epoch: 27/50\n",
      "Epoch 00027: reducing learning rate of group 0 to 3.9063e-05.\n",
      "Train set: Average loss: 4.8310\n",
      "\n",
      "Test set: Average loss: 5.1085 - Learning rate : 0.0001\n",
      "\n",
      "Epoch: 28/50\n",
      "Train set: Average loss: 4.8272\n",
      "\n",
      "Test set: Average loss: 5.1091 - Learning rate : 0.0000\n",
      "\n",
      "Epoch: 29/50\n",
      "Epoch 00029: reducing learning rate of group 0 to 1.9531e-05.\n",
      "Train set: Average loss: 4.8244\n",
      "\n",
      "Test set: Average loss: 5.1092 - Learning rate : 0.0000\n",
      "\n",
      "Epoch: 30/50\n",
      "Train set: Average loss: 4.8209\n",
      "\n",
      "Test set: Average loss: 5.1098 - Learning rate : 0.0000\n",
      "\n",
      "Epoch: 31/50\n",
      "Epoch 00031: reducing learning rate of group 0 to 9.7656e-06.\n",
      "Train set: Average loss: 4.8201\n",
      "\n",
      "Test set: Average loss: 5.1100 - Learning rate : 0.0000\n",
      "\n",
      "Epoch: 32/50\n",
      "Train set: Average loss: 4.8181\n",
      "\n",
      "Test set: Average loss: 5.1103 - Learning rate : 0.0000\n",
      "\n",
      "Epoch: 33/50\n",
      "Epoch 00033: reducing learning rate of group 0 to 4.8828e-06.\n",
      "Train set: Average loss: 4.8178\n",
      "\n",
      "Test set: Average loss: 5.1105 - Learning rate : 0.0000\n",
      "\n",
      "Epoch: 34/50\n",
      "Train set: Average loss: 4.8167\n",
      "\n",
      "Test set: Average loss: 5.1106 - Learning rate : 0.0000\n",
      "\n",
      "Epoch: 35/50\n",
      "Epoch 00035: reducing learning rate of group 0 to 2.4414e-06.\n",
      "Train set: Average loss: 4.8166\n",
      "\n",
      "Test set: Average loss: 5.1107 - Learning rate : 0.0000\n",
      "\n",
      "Epoch: 36/50\n",
      "Train set: Average loss: 4.8161\n",
      "\n",
      "Test set: Average loss: 5.1107 - Learning rate : 0.0000\n",
      "\n",
      "Epoch: 37/50\n",
      "Epoch 00037: reducing learning rate of group 0 to 1.2207e-06.\n",
      "Train set: Average loss: 4.8160\n",
      "\n",
      "Test set: Average loss: 5.1108 - Learning rate : 0.0000\n",
      "\n",
      "Epoch: 38/50\n",
      "Train set: Average loss: 4.8157\n",
      "\n",
      "Test set: Average loss: 5.1108 - Learning rate : 0.0000\n",
      "\n",
      "Epoch: 39/50\n",
      "Epoch 00039: reducing learning rate of group 0 to 6.1035e-07.\n",
      "Train set: Average loss: 4.8157\n",
      "\n",
      "Test set: Average loss: 5.1109 - Learning rate : 0.0000\n",
      "\n",
      "Epoch: 40/50\n",
      "Train set: Average loss: 4.8156\n",
      "\n",
      "Test set: Average loss: 5.1109 - Learning rate : 0.0000\n",
      "\n",
      "Epoch: 41/50\n",
      "Epoch 00041: reducing learning rate of group 0 to 3.0518e-07.\n",
      "Train set: Average loss: 4.8155\n",
      "\n",
      "Test set: Average loss: 5.1109 - Learning rate : 0.0000\n",
      "\n",
      "Epoch: 42/50\n",
      "Train set: Average loss: 4.8155\n",
      "\n",
      "Test set: Average loss: 5.1109 - Learning rate : 0.0000\n",
      "\n",
      "Epoch: 43/50\n",
      "Epoch 00043: reducing learning rate of group 0 to 1.5259e-07.\n",
      "Train set: Average loss: 4.8155\n",
      "\n",
      "Test set: Average loss: 5.1109 - Learning rate : 0.0000\n",
      "\n",
      "Epoch: 44/50\n",
      "Train set: Average loss: 4.8154\n",
      "\n",
      "Test set: Average loss: 5.1109 - Learning rate : 0.0000\n",
      "\n",
      "Epoch: 45/50\n",
      "Epoch 00045: reducing learning rate of group 0 to 7.6294e-08.\n",
      "Train set: Average loss: 4.8154\n",
      "\n",
      "Test set: Average loss: 5.1109 - Learning rate : 0.0000\n",
      "\n",
      "Epoch: 46/50\n",
      "Train set: Average loss: 4.8154\n",
      "\n",
      "Test set: Average loss: 5.1109 - Learning rate : 0.0000\n",
      "\n",
      "Epoch: 47/50\n",
      "Epoch 00047: reducing learning rate of group 0 to 3.8147e-08.\n",
      "Train set: Average loss: 4.8154\n",
      "\n",
      "Test set: Average loss: 5.1109 - Learning rate : 0.0000\n",
      "\n",
      "Epoch: 48/50\n",
      "Train set: Average loss: 4.8154\n",
      "\n",
      "Test set: Average loss: 5.1109 - Learning rate : 0.0000\n",
      "\n",
      "Epoch: 49/50\n",
      "Epoch 00049: reducing learning rate of group 0 to 1.9073e-08.\n",
      "Train set: Average loss: 4.8154\n",
      "\n",
      "Test set: Average loss: 5.1109 - Learning rate : 0.0000\n",
      "\n",
      "Epoch: 50/50\n",
      "Train set: Average loss: 4.8154\n",
      "\n",
      "Test set: Average loss: 5.1109 - Learning rate : 0.0000\n",
      "\n"
     ]
    }
   ],
   "source": [
    "model, train_loss_t, test_loss_t = fit(model, X_train, y_train, X_test, y_test, optimizer, loss_fn, nb_epochs,device)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "HL--b9nVB6NK"
   },
   "outputs": [],
   "source": [
    "def plot_losses(train_loss_t, test_loss_t):\n",
    "    nb_epochs = len(train_loss_t)\n",
    "    plt.plot(range(nb_epochs), train_loss_t, color='orange', label='Loss on the training set')\n",
    "    plt.plot(range(nb_epochs), test_loss_t, color='green', label='Loss on the testing set')\n",
    "    plt.legend()\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "op0o9tx4B6NN"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_losses(train_loss_t, test_loss_t)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "eFZ9dY4HB6NQ"
   },
   "source": [
    "## 5. Looking at your results\n",
    "\n",
    "To compute a baseline, I am computing the average of all failure times in the train dataset."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "FVtYbGjkB6NQ"
   },
   "outputs": [],
   "source": [
    "max_val = np.zeros(len(y_train))\n",
    "for i,y in enumerate(y_train):\n",
    "    max_val[i] = y[0].item()\n",
    "baseline = np.mean(max_val)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "xYqaD1loB6NS"
   },
   "source": [
    "Here I am computing all the predictions made by my model on the test set and exporting these into `numpy`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "F_UttARgB6NS"
   },
   "outputs": [],
   "source": [
    "def compute_np(model,X_test, y_test,baseline=baseline,device=device,max_size=303):\n",
    "    n_test = len(X_test)\n",
    "    all_pred = np.empty((n_test,max_size,2))\n",
    "    all_y = np.empty((n_test,max_size))\n",
    "    base_pred = np.empty((n_test,max_size))\n",
    "    all_pred[:] = np.NaN\n",
    "    all_y[:] = np.NaN\n",
    "    base_pred[:] = np.NaN\n",
    "    list_npred = []\n",
    "    for k in range(n_test):\n",
    "        pred = model(X_test[k].to(device))\n",
    "        pred_np = pred.cpu().detach().numpy()\n",
    "        n_pred = pred_np.shape[0]\n",
    "        list_npred.append(n_pred)\n",
    "        all_pred[k,:n_pred,:] = pred_np\n",
    "        all_y[k,:n_pred] = y_test[k].numpy()\n",
    "        base_pred[k,:n_pred] = baseline - range(n_pred)\n",
    "    return all_pred, all_y, base_pred, list_npred"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "6XWfOw9IB6NU"
   },
   "outputs": [],
   "source": [
    "all_pred, all_y, base_pred, list_npred = compute_np(model, X_test,y_test)\n",
    "pred_fail = all_pred[:,:,0]*gamma(1+1/all_pred[:,:,1])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "3IdjZMAZB6NW"
   },
   "source": [
    "On the test set, we have only access to the start of the sequence and need to predict the failure time. For a given engine, you can compare the predictions made by the model, the baseline and the true value:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "CdkmllHNB6NX"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7f95843afac0>"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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VZv57UlISAJs2baJUqVJZjis2c4T9hwSUwsjODTr8D+oNgR1T4Ox6OLECTv2uLFLYcDRYOZq6SiGEeH4qVbabWkzJwsICvf7Zs4C7ublx+vTpLPvCwsIwNzcHoGrVqlhaWhIREVEsm3MeR3pZFmYu5eD15TBwO/g0AF2qMpfKnAA4shB0GaauUAghijRfX1+OHDnC9evXuXfvHgaD4bHHtWjRguPHj7N8+XIuXbrEJ598kiWw2Nvb8+677zJ27FiWLVvGlStXCA0NZe7cuSxbtiy/bqdAkYBSFHjXgQFboMcqcKkAKfdhy/swry6cWav0hhdCCJHr3n33XczMzKhatSpubm5EREQ89ri2bdsyceJE3n//ferUqUNiYiJ9+/bNcszUqVOZOHEi06ZNo0qVKrRr145NmzZla927okhmki1q9Do4sRx2TYPkhwsylqoNbaZCmZdMW5sQQjxGYZ5JVjxKZpIVj2emgdpvwagT0PRDMLeFW8dhSXv4qSfEXDR1hUIIIcQzSUApqiztoPkEGBUKQQNAZQYXNsG39WHjGEi8Y+oKhRBCiCeSgFLU2XtCp1kw7BBUehmMeghZonSk3TUN0pNMXaEQQgjxCAkoxYVbJXhzldKZtlRt0CbDnulKUDm+WOm7IoQQQhQQElCKmzIvwdvb4bVlUMJP6Uj7x1il6ef8JhnxI4QQokCQgFIcqVRQrQsMPwrtvwIbF7h/CVb3VDrTRh4zdYVCCCGKOQkoxZnGAuoNVkb8NB4PGiuIOAQ/tIJf+sL9K6auUAghRDElAUUo0+K3nAQjQyGgN6BSps+fVxc2vwfJ90xdoRBCiGJGAor4h2Mp6DwPhh6ACm3AoIOj38Fsf9j7NWSkmLpCIYQQxYQEFPEoj2rQ61fouwFK1oKMRNg5FeYGQuiPYHj2wlhCCFEcNGvWjDFjxpjs+v3796dLly4Fpp7cJKsZiycr2xTe2Q2nf4cdn0J8BGwYAYe/hVZToEJrpcOtEEKIAmHNmjWZKyQXdvIERTydWg01X4ORx6HN52DlBHfPwqrXYFknuBVq6gqFEEI85OzsjL29vanLyBUSUET2aCzhpREwOgxeGgVmlnB9H3zfHH4bCA+um7pCIYQwCZ1Ox4gRI3B0dMTV1ZWJEyfy9zq8P/74I7Vr18be3h5PT0969uzJ3bt3Mz/74MEDevXqhZubG9bW1lSoUIElS5Zkvh8ZGcnrr7+Ok5MTzs7OdO7cmevXrz+xlv828fj6+vLFF1/w1ltvYW9vj4+PD999912Wz+T0GvlFAorIGesSysrII49DzR7KvtO/wTd14M+PICXWtPUJIYoEo9FIijYl31/G55isctmyZWg0Go4ePcrs2bMJDg5m0aJFAGi1WqZOnUp4eDjr1q3j+vXr9O/fP/OzEydO5OzZs2zZsoVz584xf/58XF1dMz/btm1b7O3t2bdvHwcOHMDOzo527dqRkZGR7fpmzJhB7dq1OXHiBMOGDWPo0KFcuHAhV6+RF6QPing+Tj7QbSE0GAZbJ8K1PXB4HoStUOZUqTsYzGXZdCHE80nVpVJvVb18v+6RnkewMbfJ0We8vb2ZOXMmKpWKSpUqcerUKWbOnMk777zDW2+9lXlc2bJlmTNnDnXq1CEpKQk7OzsiIiIICAigdu3agPLE428///wzBoOBRYsWoXrY32/JkiU4OTmxe/du2rRpk636OnTowLBhwwD44IMPmDlzJrt27aJSpUq5do28IE9QxIspWQv6rofev4NHdUiLh22T4JvaEL4aDAZTVyiEEHmqfv36mT/cARo0aMClS5fQ6/WEhITQqVMnfHx8sLe3p2nTpgBEREQAMHToUFavXo2/vz/vv/8+Bw8ezDxPeHg4ly9fxt7eHjs7O+zs7HB2diYtLY0rV7I/kWbNmjUz/12lUuHp6ZnZzJRb18gL8gRFvDiVCsq3grLN4eTPsPMziI+EtYPh0DfQ+lMo18LUVQohChFrjTVHeh4xyXVzS1paGm3btqVt27asXLkSNzc3IiIiaNu2bWbzSfv27blx4wabN29m27ZttGzZkuHDh/P111+TlJREUFAQK1eufOTcbm5u2a7jv6N6VCoVhoe/PObWNfKCBBSRe9Rm4N8TqnWFIwtgXzBEn4IfuyoBpfWn4FnD1FUKIQoBlUqV46YWUzlyJGuQOnz4MBUqVOD8+fPcv3+f6dOn4+3tDcDx48cf+bybmxv9+vWjX79+NG7cmPfee4+vv/6awMBAfv75Z9zd3XFwcMiT2vPjGs9LmnhE7jO3hkZjYVQY1B8GanO4shMWNIa1QyH+pqkrFEKIXBMREcG4ceO4cOECP/30E3PnzmX06NH4+PhgYWHB3LlzuXr1Khs2bGDq1KlZPjtp0iTWr1/P5cuXOXPmDH/88QdVqlQBoFevXri6utK5c2f27dvHtWvX2L17N6NGjeLmzdz5/2h+XON5SUARecfWBdpNgxHHoHp3wAjhq2BOIGz7BFLjTF2hEEK8sL59+5KamkrdunUZPnw4o0ePZtCgQbi5ubF06VJ+/fVXqlatyvTp0/n666+zfNbCwoIJEyZQs2ZNmjRpgpmZGatXrwbAxsaGvXv34uPjQ7du3ahSpQoDBw4kLS0t15525Mc1npfK+DxjqkwsISEBR0dH4uPjTf4HKHLgZghsmwg3Dijb1iWgyftQZ6Ayz4oQolhKS0vj2rVr+Pn5YWUlo/8Ku6f9febk57c8QRH5p3QQ9N8Eb/4MrpUg9QH8NUGZQ+X07zLiRwghRCYJKCJ/qVRQqR0MPQid5oCdJ8TdgN/egkUt4do+U1cohBCiAMhRQJk2bRp16tTB3t4ed3d3unTpkjkbHUBsbCwjR46kUqVKWFtb4+Pjw6hRo4iPj89yHpVK9cjr7zY3UUyYaSCoH4wKheYfg4Ud3A6FZR1h1Rtw95ypKxRCCGFCOQooe/bsYfjw4Rw+fJht27ah1Wpp06YNycnJANy+fZvbt2/z9ddfc/r0aZYuXcqff/7JwIEDHznXkiVLiIqKynz9e7loUYxY2ELT95QRP3XeBpUZXPwT5r8EG0ZCQpSpKxRCCGECL9RJNiYmBnd3d/bs2UOTJk0ee8yvv/5K7969SU5ORqNRpl1RqVSsXbv2uUOJdJItwu5dgh1T4NxGZVtjrSxS+NIosJK/ayGKIukkW7QUiE6yfzfdODs7P/UYBweHzHDyt+HDh+Pq6krdunVZvHjxUxdoSk9PJyEhIctLFFGuFeCNFfDWVvCuB7pU2Ps/mBMAR78HvdbUFQoh8kghHFQqHiO3/h6fO6AYDAbGjBlDw4YNqV69+mOPuXfvHlOnTmXQoEFZ9n/66af88ssvbNu2je7duzNs2DDmzp37xGtNmzYNR0fHzNffM/KJIsynHrz1lxJWnMtByj3Y/C7Mqwdn14P8j0yIIuPvqdhTUlJMXInIDX//Pf53iv2ceu4mnqFDh7Jlyxb2799P6dKlH3k/ISGB1q1b4+zszIYNG55a6KRJk1iyZAmRkZGPfT89PZ309PQs5/b29pYmnuJCr4WQpbB7uhJUAErXhTZTwae+SUsTQuSOqKgo4uLicHd3x8bGJsvie6JwMBqNpKSkcPfuXZycnChZsuQjx+Skiee5AsqIESNYv349e/fuxc/P75H3ExMTadu2LTY2Nvzxxx/PbFPctGkTHTt2JC0tDUvLZ0/YJX1Qiqn0RDgwR1mAUPvwN63KHaHVZKVpSAhRaBmNRqKjo4mLizN1KeIFOTk54enp+diQmZOf3zlaLNBoNDJy5EjWrl3L7t27HxtOEhISaNu2LZaWlmzYsCFbHZ7CwsIoUaJEtsKJKMYs7aHF/0Htt2D3NDjxI5z/Ay5sgaD+0OxDsHM3dZVCiOegUqkoWbIk7u7uaLXS16ywMjc3x8zMLFfOlaOAMnz4cFatWsX69euxt7cnOjoaAEdHR6ytrUlISKBNmzakpKSwYsWKLB1a3dzcMDMzY+PGjdy5c4f69etjZWXFtm3b+OKLL3j33Xdz5YZEMeBQEl6ZoyxEuH0yXNwCx3+Akz8ro31eGqEMXxZCFDpmZma59gNOFG45auJ5UpvgkiVL6N+/P7t376Z58+aPPebatWv4+vry559/MmHCBC5fvozRaKR8+fIMHTqUd955B7U6e312pYlHZHF9P2ydqEz0BmDnAc0/Av/eyoRwQgghCoQ874NiahJQxCOMRjizVplD5cF1ZZ9rJWg9BSq2U6bYF0IIYVKyWKAoflQqqN4Nhh+FdtPB2hnuXYCfesDSl5WVlIUQQhQaElBE0aKxhPpDYdQJaDQWNFZw4wAsagG/9ofYq6auUAghRDZIQBFFk7WTMvx4ZAj49wJUShPQN3Vhy4eQfN/EBQohhHgaCSiiaHMsDV2+hSH7oXwrMGjhyHyY4w/7gkGbauoKhRBCPIYEFFE8eFaH3r9Dn3XgWRPSE5QOtXOD4MRKMOhNXaEQQoh/kYAiipdyzWHQHuj6HTh6Q8ItWD8MFjSGS9tljR8hhCggJKCI4kethlpvwIjj0HoqWDnC3TOwsjss7wy3w0xdoRBCFHsSUETxZW4FDUfBqDBoMALMLODaHviuKfz+DsRFmLpCIYQotiSgCGHjDG0/V56o1HhN2XfqF6V/ytaPIfWBaesTQohiSAKKEH8rUQa6L4JBu8G3Megz4OBcmO2v/FObZuoKhRCi2JCAIsR/eQVAv43Q6zdwrwppccqTlG/qwMlfwGAwdYVCCFHkSUAR4nFUKqjQWpk/pfM8sPeC+AhY847SR+XqblNXKIQQRZoEFCGeRm0GAb2VGWlbTgILe4g+qYz2WdEd7pwxdYVCCFEkSUARIjssbKDxeBgdBnUHg1oDl7fD/IawbjjE3zJ1hUIIUaRIQBEiJ2xdocNXyqrJVbsARghbAXMDYfsUSIs3dYVCCFEkSEAR4nm4lIPXl8HbO8DnJdClwf5gZcTP4QWgyzB1hUIIUahJQBHiRZSuDQM2Q4+fwLUipMbCnx/AvDpweo1MnS+EEM9JAooQL0qlgsodYOgh6DgLbN3hwXX4bQAsagnXD5i6QiGEKHQkoAiRW8w0UHsAjDoBzT4Cc1u4FQJLO8BPb0LMBVNXKIQQhYYEFCFym6UdNPtACSq13wKVGVzYDN/Wh42jITHa1BUKIUSBJwFFiLxi7wEdZ8Kww1C5IxgNELIU5gTAri8gPdHUFQohRIElAUWIvOZWEXqshAF/Quk6oE2BPV/CnEA49gPotaauUAghChwJKELklzINYOA2eH05OJeF5LuwaRx82wDO/SEjfoQQ4l8koAiRn1QqqNpZmeit/f/AxgXuX4Kfe8HidhB51NQVCiFEgSABRQhTMDOHeoNgVBg0fhc01hB5GH5oDT/3gftXTF2hEEKYlASUf8nQZzAndA73U++buhRRXFg5QMuJMCoUAvqASg3nNsC8urDpXUiKMXWFQghhEhJQ/uWn8z/x/anv6bCmAwvDF5KiTTF1SaK4cPCCzt/AkANQoS0YdHDse5jjD3v+BxnJpq5QCCHylQSUf6nhWoPqLtVJ0aXwTdg3dFzbkd8v/o7OoDN1aaK48KgKvX6BfhuhpD9kJMGuz2BuEIQuB4Pe1BUKIUS+UBmNhW/oQEJCAo6OjsTHx+Pg4JCr5zYajfx1/S9mhc7iVtItAMo5lmNs0FialG6CSqXK1esJ8UQGA5xZAzumQFyEss+tCrSeAhXaKB1uhRCiEMnJz28JKE+Qoc/glwu/sODkAuLT4wGo7VGb8bXHU921ep5cU4jH0qXDsUWw5ytIi1P2+TaG1p9CqUCTliaEEDkhASU3r5WRwOJTi1lxbgXp+nQA2vu2Z2TgSLztvfP02kJkkfoA9s+Ewwvg4XeR6t2hxURw9jNtbUIIkQ0SUPJAdHI0c0/MZeOVjRgxolFr6FGpB4NrDsbJyilfahACgLhI2PU5hK8GjKA2h7rvQJP3wMbZ1NUJIcQT5eTnd446yU6bNo06depgb2+Pu7s7Xbp04cKFrCu0pqWlMXz4cFxcXLCzs6N79+7cuXMnyzERERG8/PLL2NjY4O7uznvvvYdOV7A7onraevJ5o8/5tdOvNPRqiM6gY8W5FXRY04EfTv1Ami7N1CWK4sLJG7ougMF7oWxzMGjh8Lcw2x/2zwJtqqkrFEKIF5ajgLJnzx6GDx/O4cOH2bZtG1qtljZt2pCc/M8QyLFjx7Jx40Z+/fVX9uzZw+3bt+nWrVvm+3q9npdffpmMjAwOHjzIsmXLWLp0KZMmTcq9u8pDlZwrsaD1Aha2Xkhl58okahOZFTqLjms7sv7yevQyykLkl5I1oe866L0GPGpAejxs/wTm1oawn2TEjxCiUHuhJp6YmBjc3d3Zs2cPTZo0IT4+Hjc3N1atWsWrr74KwPnz56lSpQqHDh2ifv36bNmyhY4dO3L79m08PDwAWLBgAR988AExMTFYWFg887qmaOJ5HIPRwKarm5h7Yi5RyVEAVCxRkXFB42hYqqHJ6hLFkEEPJ3+BnZ9Bwk1ln0cNZcRP+ZamrU0IIR7Ksyae/4qPV0a3ODsr7d4hISFotVpatWqVeUzlypXx8fHh0KFDABw6dIgaNWpkhhOAtm3bkpCQwJkzZx57nfT0dBISErK8CgK1Sk2ncp3Y2HUj44PGY29hz8UHFxmyfQiDtg7i3P1zpi5RFBdqM/B/E0Yeh1ZTwNIR7pyCFd3gx64QddLUFQohRI48d0AxGAyMGTOGhg0bUr26Muw2OjoaCwsLnJycshzr4eFBdHR05jH/Did/v//3e48zbdo0HB0dM1/e3gVr9IylmSX9q/dnc9fN9K3aF3O1OYeiDvHGH2/w0b6PuJ1029QliuLC3BoajYHRYVB/uNKB9spOWNgE1g5ROtgKIUQh8NwBZfjw4Zw+fZrVq1fnZj2PNWHCBOLj4zNfkZEF83+yTlZOvFfnPTZ02UAHvw4YMbLx6kY6re1E8PHgzPlUhMhzNs7Q7gsYcQyqvwoYIfwnZUbabZMgNc7UFQohxFM9V0AZMWIEf/zxB7t27aJ06dKZ+z09PcnIyCAuLi7L8Xfu3MHT0zPzmP+O6vl7++9j/svS0hIHB4csr4KstH1pvmzyJas7rqauZ10yDBksObOEDms6sOzMMjL0GaYuURQXzn7w6g/wzk4o00iZP+XAbGWNn0PzlEnghBCiAMpRQDEajYwYMYK1a9eyc+dO/PyyTg4VFBSEubk5O3bsyNx34cIFIiIiaNCgAQANGjTg1KlT3L17N/OYbdu24eDgQNWqVV/kXgqcai7VWNRmEd+2/JbyTuVJyEjg6+Nf88q6V9h0dRMGo8HUJYriolQQ9P8Dev4CbpWVSd/++gi+qQ2nflOm1RdCiAIkR6N4hg0bxqpVq1i/fj2VKlXK3O/o6Ii1tTUAQ4cOZfPmzSxduhQHBwdGjhwJwMGDBwFlmLG/vz9eXl589dVXREdH06dPH95++22++OKLbNVRUEbx5ITeoGfDlQ18c+Ib7qYq4ayqS1XGB42nbsm6Jq5OFCt6HYSvgp2fQ9LDfl8l/aHNVPBrYtLShBBFW57NJPukhfKWLFlC//79AWWitvHjx/PTTz+Rnp5O27Zt+fbbb7M039y4cYOhQ4eye/dubG1t6devH9OnT0ej0WSrjsIYUP6WqktlxdkV/HD6B5K1yvwxjUs1ZmzQWCqUqGDi6kSxkpEMh76FA7OUVZMBKrSFVpOVVZWFECKXyVT3hUBsWiwLwxfyy4Vf0Bl1qFVqOpfrzHD/4XjYejz7BELklqQY2PMlhCwBgw5UavDvBc0/AgcvU1cnhChCJKAUIhEJEcwOnc3WG1sBsDKzok/VPgyoPgB7C3sTVyeKlXuXYccUOLdB2dZYQ4Ph0HA0WBXu/86EEAWDBJRCKDwmnODjwYTeDQWghGUJBtcazOsVX8fczNzE1YliJfIobJ0IkYeVbRsXaPohBPUHzbNnehZCiCeRgFJIGY1GdkfuZmboTK7FXwPAx96H0YGjaV2m9RP7AAmR64xGOL9JWdvn/mVln3NZpX9KlVdAvotCiOcgAaWQ0xl0rLm0hm/DvuV+2n0AarrWZFztcQR5BJm4OlGs6LUQugx2T4fkGGVf6TrQeiqUaWDa2oQQhY4ElCIiRZvCsjPLWHJmCam6VACaezdnTNAYyjqWNXF1olhJT4SDc5WXNkXZV7kjtPwE3CqatjYhRKEhAaWIuZd6j/lh8/n90u/ojXrMVGZ0q9CNYf7DcLV2NXV5ojhJjIbd0yB0ORgNoDKDoH5KHxV7GX0mhHg6CShF1NX4q8wOmc3OyJ0AWGusGVBtAP2q9cPG3MbE1YliJeYCbJ8MFzYr2+a20HAUNBgBlnYmLU0IUXBJQMkFRqORNaG3qFLSgapeBSsEhd4JZUbIDE7GnATAxcqFYf7D6FahGxp19ia7EyJXXD8A2ybCrRBl284Dmk2AgD5gJt9FIURWElBywcEr9+j5/RFK2Jiz691mONkUrOGVRqORbTe2MTt0NhGJEQD4OvgyNmgszb2by4gfkX+MRji7DrZPgQfK6DNcK0KrKVCpvYz4EUJkysnP7+dazbg4OHhZGT3zIEXLjK0XTVzNo1QqFW1827Cu8zom1J1ACcsSXE+4zuhdo+n/Z3/CY8JNXaIoLlQqqNYVhh+F9l+BtTPcuwir34QlHeDmcVNXKIQohOQJyhO8vuAQR6/HAqBWwYYRjaheyjFPrpUbkjKSWHx6MT+e/ZE0fRoArcu0ZnTgaMo4lDFxdaJYSYuH/bPg8LegU76LVO0CLSeBSzlTViaEMDFp4nlBaVo9NSdvJUNvIKhMCUJuPCCoTAl+G9KgwDed3Em+w7fh37Lu8joMRgMalYbXKr3GkFpDcLZyNnV5ojiJvwW7voCwlYAR1OZQZyA0eQ9sZfSZEMWRNPG8oLDIODL0BtztLfmmZwA2FmaE3HjA2hO3TF3aM3nYejDlpSn82ulXGpdqjM6o46fzP9FhTQe+P/l95nwqQuQ5x1LQZR4M2Q/lW4NBC0cWwJwA2DcDMlJMXaEQogCTgPIYR64qTTv1yrpQ0tGakS0qADB5wxl2nb9rytKyrWKJinzb6lsWtVlEVZeqJGuTmXNiDh3XdGTtpbXoDXpTlyiKC8/q0Ps36LsePGtCegLs+BTmBsGJFSDfRSHEY0hAeYyj15UOsnX9lCaRgY38CCpTgoQ0HQOWHiN46wX0hsLRMlavZD1+evknvmz8JaXsSnE39S6TDk7i1Y2vsvfmXgphC58orMo2g0F7oNv34OgDibdh/XBY0AgubVNGAwkhxEPSB+U/MnQGak75izStga1jm1DRwx6AdJ2ez/44x4+HbwBQz8+Z0S0r0KCcS4Hvl/K3DH0Gq8+vZuHJhSRkJABQ17Mu44LGUc21momrE8WKNg2OfQ97/6d0qgXwawKtPwWvANPWJoTIM9JJ9gWE3HhA9/kHcba1IOTjVo+Ej3UnbjFhzSlStcpj6cqe9vRt4MvLNUviaG2eq7Xklfj0eH44/QMrz64kw5ABQHu/9owKGEVp+9Imrk4UKymxsD8YjiwEvfJdpMZr0GIilJDRZ0IUNRJQXsD83Vf48s/ztK3mwcI+tR97zI37ySzad43fQm5mBhULMzVNK7nxSi0vWlZxx8ai4M+iGZUUxTdh37DxykaMGDFXm/Nm5TcZVHMQjpYFd0i1KIIe3ICdn8GpX5RtMwuoOwgajwcbGX0mRFEhAeUF9F9ylN0XYpjUsSpvNfJ76rHxqVp+ORbJryGRXLyTlLnfxsKMVlU8eKWWF80quaExK9hdfc7dP0dwSDCHow4DYG9hzzs13qFnlZ5YmlmauDpRrNwOU6bOv7ZX2bZyhMbvKmHF3MqkpQkhXpwElOekNxipNWUrSek6/hiZs4nZLkQnsiH8FhvDo4iI/Wf4ZBkXG4Y3L0/XgFKYF/CgcvDWQWaEzODiA2Xm3JK2JRkZMJKXy76MWlWwaxdFiNEIl3fAtklw94yyz9Fbafap8Rqo5bsoRGElAeU5nboZT6dv9mNvpSFsUhvM1Dnv/Go0Ggm/Gc+GsNusC7tFbLLSru7jbMOI5uXpGliwg4reoGfTtU3MPTGX6ORoACo7V2Zs0Fhe8nrJxNWJYsWgh/DVStNP4m1ln2dNpSNtueamrU0I8VwkoDynRfuu8tmmc7So7M7i/nVe+HwpGTpWHL7Bwj1Xuf8wqHg7WzOyeYUCH1TSdGmsOr+KRScXkahNBKChV0PGBo2lknMlE1cnihVtKhyeD/tnKnOoAJRrqQQVz+qmrU0IkSMSUJ7T2dsJ/HUmmvLudnSq5ZVr503J0LHycAQL917hXtI/QWVE8/J0CyxdoINKXFocC08uZPWF1egMOlSo6FSuEyMDRuJp62nq8kRxknxfGZZ8bJEyKy0q8O8JzT8CRxl9JkRhIAGlgErN0LPyyA0W7LnKvaR0AEqX+CeoWGgKblCJTIxkbuhctlzfAoCF2oLeVXszsMZAHCwKz9+BKAJiryoz0Z5Zq2xrrKD+UGg0VulUK4QosCSgFHCPCyqlnKwZ0aI83Qt4UDl97zQzjs/g+J3jADhaOjK45mDeqPQGFmYWJq5OFCs3j8PWiRBxUNm2doam70PtgaCR76IQBZEElEIiNUPPqqMRLNhzhZhEJai42llSz8+ZwDIlqF/WmWpeBe83QqPRyL5b+wg+HsyV+CsAlLIrxZjAMbTxbSMjfkT+MRrh4p+w7RO4d0HZV8IXWk6Cat2gkMzyLERxIQGlkEnT6ll1RAkqdx8Glb+9XLMkkztVw82+4M1HojPoWH95PfPC5hGTGgNAdZfqjKs9jjqeL97JWIhs0+sgbAXs+gKS7ij7vAKhzVTwbWTa2oQQmSSgFFLpOj0nIuIIufGA49dj2XvpHnqDEScbcz7pVJUu/qUK5Lo/KdoUfjz7I4tPLyZFp8wB07R0U8YEjqF8ifImrk4UKxnJcGgeHJgNGQ8nT6zYHlpNBvfKJi1NCCEBpcg4dTOe938/ybkoZWhlg7IufPJKVSp7Fsx7vp96nwXhC/jt4m/ojDrUKjVdy3dlmP8w3G3cTV2eKE6S7sLu6RCyFIx6UKkhoI8y4sdeRp8JYSoSUIoQrd7Ad3uvMmfHJdJ1BszUKnrX82F48/K4OxTMqb+vx19nzok5bLuxDQArMyv6VuvLgGoDsLOwM3F1oli5dwm2T4bzfyjb5jbQYAQ0HAWW9iYtTYjiSAJKERQZm8IXm8+x5bQyu6taBQ3Lu9LFvxQNy7vi4WBZ4Jp/wu6GMeP4DMJiwgBwtnJmSK0hvFrxVczVhWPlZ1FERBxWRvzcPKps27pB0w8gqD+YyXdRiPwiAaUIO3j5HsHbLnL8xoMs+20szPB1sSWwjBNdA0oT6ONUIAKL0WhkZ+ROZoXM4nrCdQDKOJRhTOAYWvq0LBA1imLCaIRzG5UnKrHK6DNcyiv9Uyp3lBE/QuSDPA0oe/fu5X//+x8hISFERUWxdu1aunTp8s8Jn/Af+VdffcV7770HgK+vLzdu3Mjy/rRp0/jwww+zVUNxDih/u3E/mfVht9l0MorLMUnoDVn/Gn1dbHittjd9G5TB3sr0vyFqDVrWXFzDt+HfEpsWC0Att1qMrz2eAPcAE1cnihW9Vumbsns6pNxT9nnXg9ZTwaeeSUsToqjL04CyZcsWDhw4QFBQEN26dXskoERHRz9y/MCBA7l8+TJly5YFlIAycOBA3nnnnczj7O3tsbW1zVYNElCy0uoNRMamcOluEn+diebP09GkZOgBKGFjzpCm5ejbwBdrCzMTVwrJ2mSWnlnKsjPLSNWlAtDSpyWjA0fj5+hn4upEsZKWAAfnwMFv4OF3kSqdoOVkcJXRZ0LkhXxr4lGpVI8ElP/q0qULiYmJ7NixI3Ofr68vY8aMYcyYMc91XQkoT5ecrmPzqSjm77nC1ZhkANzsLRnfuiKv1fZ+rlWac1tMSgzfhn/LmktrMBgNmKnMeLXiqwypNQRXa1dTlyeKk4Qo2P0FnFgBRgOozKD2AKWPip2MPhMiNxWYgHLnzh1Kly7NsmXL6NmzZ+Z+X19f0tLS0Gq1+Pj40LNnT8aOHYtGo3nsedLT00lP/2cCs4SEBLy9vSWgPINOb2Bd2G1m77hIZKzyG2KVkg581KEydf2csdSY/onKlbgrzAqdxe7I3QDYaGzoX70//ar2w8bcxqS1iWLm7jmlf8rFP5VtCztoOBoaDAeL7D3dFUI8XYEJKF999RXTp0/n9u3bWFn9MyQ2ODiYwMBAnJ2dOXjwIBMmTGDAgAEEBwc/9jyTJ09mypQpj+yXgJI9GToDyw9dZ86OSySk6QClP2BJByt8XW3p26AM7aqXNGmNx6KPEXw8mNP3TwPgau3KcP/hdCnfBY368cFViDxxbS9smwS3Tyjbdp7K/Cn+vcBMvotCvIgCE1AqV65M69atmTt37lPPs3jxYgYPHkxSUhKWlo9O6S5PUHJHbHIGs7df5PfQWySl67K817aaB592ro6HCedWMRqN/HXjL2aHzOZm0k0AyjqWZWzQWJqWbiojfkT+MRjgzBpl1eS4hx363SpDqylQsa2M+BHiORWIgLJv3z6aNGlCWFgYtWrVeup5zpw5Q/Xq1Tl//jyVKlV65nWlD8qLMRqN3E/OICI2he1n7/Dd3qvoDEbsrTT0bVCG1lU9qVnKEbWJ+qpo9Vp+ufgLC8IXEJceB0CQRxDjg8ZTw62GSWoSxZQuHY79AHu/gtSHQ/vLNII2n0KpINPWJkQhVCACSv/+/Tl9+jTHjx9/5nlWrlxJ3759uXfvHiVKlHjm8RJQctf56AQ++P0U4ZFxmfvc7S15pZYXAxv7UdLR2iR1JWYksvj0Yn48+yPpeuUJWlvftowOGI23g7dJahLFVGoc7J8Jh+fDw+8i1bopqyY7y+gzIbIrTwNKUlISly9fBiAgIIDg4GCaN2+Os7MzPj4+mQWULFmSGTNmMGTIkCyfP3ToEEeOHKF58+bY29tz6NAhxo4dS/v27Vm2bFmu36DIHr3ByKZTUfx1Jpo9F2Iym4DMzVR0DSjF4KblKOdmmmnqo5Oj+ebEN2y4sgEjRjRqDT0q9WBQzUGUsHp2oBUi18RFKismh/8EGEFtDnXfgSbvgY2zqasTosDL04Cye/dumjdv/sj+fv36sXTpUgC+++47xowZQ1RUFI6OjlmOCw0NZdiwYZw/f5709HT8/Pzo06cP48aNe2z/k8eRgJK30nV69l+6x3d7r3LkmjKpmkoF7at7MrRpeWqUdnzGGfLGhdgLzAydyYFbBwCwM7djYI2B9K7SGytNwVyXSBRR0adg2ydw5eH0CZaO0Hgs1BsC5qZ54ihEYSBT3YtcE3LjAfN3X2b7ubuZ++qXdaZVFQ+aVHSjgrtdvndePXT7EDNDZnIu9hwAHjYejAgYQaeynTBTm37otChGruxURvxEn1K2HUpBi4+h5hsg30UhHiEBReS6C9GJLNhzhQ3ht7NMq+/tbM3M1/2p7Zu/j7cNRgObr21mbuhcbiffBqBCiQqMCxpHQ6+GMuJH5B+DAU79AjumQoIy+gyP6tB6CpRvZdrahChgJKCIPBMZm6L0U7kYw9FrsaTrDFhq1MzrGUirqh75Xk+6Pp3V51ez8ORCEjMSAahXsh7jgsZR1aVqvtcjijFtGhxdCHtnQHq8sq9scyWolHz6SEYhigsJKCJfJKfrGPXTCXacv4uZWsVnXarTqLwr95MzSEnX4e/jhI1F/kxsFZ8ez/cnv2fV+VVoDVoAXi77MqMCRuFl55UvNQgBQEos7JsBR78DfQagUpp8WvwfOPmYujohTEoCisg3Wr2BCWtO8VvIzUfeK+VkzbRuNWhS0S3f6rmVdIu5J+ay6eomAMzV5vSq0ou3a7yNo6VpOveKYurBdaXZ5/RvyraZJdQbDI3HgbWMPhPFkwQUka+MRiMztl7ku31XUQEuthak6wzcT84A4PXapRnZogKlS1jnW9+Qs/fPEnw8mCPRRwBwsHBgUM1B9KjcA0uz7I0WEyJX3ApVOtJe36dsWzkpw5LrvgMa+S6K4kUCijAJnd6AmVqFSqUiJUPHV39eYNmh6/z9DbOz1FDe3Y7WVT0Y1KQs5mbqPK3HaDRy4PYBgkOCufTgEgBetl6MDBxJB78OqFV5e30hMhmNcGmbElRilNFnOPlAi0lQvTuo5bsoigcJKKLAOHY9ls83nePM7Xi0+n++aoE+Tsx5M4DSJfJ+xWK9Qc/GqxuZe2Iud1OU4dJVnKswrvY46pesn+fXFyKTQQ9hq2DX55AYpewrWQtaT4WyTU1bmxD5QAKKKHC0egPX7yVz9Hos07ecJzFNh4OVhvfaVaacqy0udpaUKmGNnWXedapN1aWy8txKfjj1A0naJAAalmrIuKBxVCxRMc+uK8QjMlLg8LewfxY8HH1G+dbQ+lPwkNFnouiSgCIKtMjYFEb+dIKwf639A2BjYcacHgF5Plw5Ni2W705+x8/nf0Zn1KFCRefynRnuPxxPW888vbYQWSTFKAsRHl8MBh2o1ODfE5r/HzjI6DNR9EhAEQWeVm9g/u4r7L90j/vJ6cQkppOQpsPcTMXCPkG0qJz3c6pEJEQw58Qc/rr+FwCWZpb0qdqHt6q/hb2FfZ5fX4hM96/Ajilwdr2yrbGGBsOg4WiwktFnouiQgCIKHa3ewOjVJ9h8KhoLMzUL+wbRvJJ7vlz7ZMxJZhyfQejdUACcLJ0YUmsIr1d8HXMz83ypQQgAIo/BtokQcUjZtnGBph9A0ADQWJi2NiFygQQUUShp9QZGrjrBn2eiUavAxkKD9uHIoFdqeTGudUXcHfJmUUCj0ciem3uYGTKTq/FXAShtV5rRQaNpW6atTJ0v8o/RCBc2K4sR3ldGn1HCD1p9AlW7KCt3ClFISUARhZZWb2DM6jA2nYp65D0bCzMGNSlLy8oe2FiaYWepwd3eMlfDg86gY+3ltXwb9i33Uu8BUMO1BuOCxlHbs3auXUeIZ9Lr4MRy2DUNkh8u1lmqNrSZCmVeMm1tQjwnCSii0IuMTUFvMKIxUxERm8JXf154pFMtQAV3O77oVoM6ubxYYYo2hWVnl7Hk9BJSdakANPNuxtjAsZR1Kpur1xLiqdKT4OBc5aVNVvZVehlaTQY3GX0mChcJKKLIMRqNbD4VzXd7r3A3MZ2kdB3J6Tr+Xli5Vz0fPmhfGQer3O0zci/1HgvCF/Dbxd/QG/WoVWq6VejGsFrDcLPJvyn8hSAxGnZPh9DlYNSDygwC+0KzCWCf/wt1CvE8JKCIYiE+Rcu0LedYfSwSUJqAXirnSrNKbrSq4oGnY+71V7kWf43ZobPZEbEDAGuNNf2q9aN/tf7Ymtvm2nWEeKaYC7B9ClxQ1pvC3BZeGqm8LO1MW5sQzyABRRQrh67c5+N1p7gSk5y5z8JMzdev1+KVWrk7l8SJuyeYcXwG4THhALhYuTDMfxhdK3TFXC0jfkQ+unEQtk6EW8eVbVt3aD4BAvqCWf6sIi5ETklAEcWOwWDkbFQCey7G8NeZaE7ejAdgQvvKDGpSNlc70hqNRrZHbGdWyCwiEiMA8HXwZUzQGFp4t5ARPyL/GI3K3CnbJ8ODa8o+lwrQegpU6iAjfkSBIwFFFGt6g5HPNp1lyYHrAHQLLIWfiy0PUrToDAa6BJQi0OfFl7vXGrT8dvE3FoQvIDYtFoAA9wDGBY3D393/hc8vRLbpMiBkCez5ElLuK/t8Gihr/HjXMW1tQvyLBBQhgEX7rvLZpnOPfa9VFQ/ebVuRyp4v/v1JykhiyZklLD+znDR9GgCty7RmdOBoyjiUeeHzC5FtafFwYDYcmgc65btI1c7Q8hNwKWfa2oRAAooQmXacu8O6sNvYWpjhZGPB3cQ01p24hcGoPP0e8JIfH7avjIXmxZe7v5N8h/nh81l7eS0GowGNSsOrFV9lSK0huFi75MLdCJFN8bdg9xdwYiVgBLUGar+lzEpr62rq6kQxJgFFiKe4EpNE8LaLbDqpTAYXVKYE83oG5tqon8sPLjMrdBZ7bu4BwEZjw1vV36JP1T7YmNvkyjWEyJY7Z5T+KZe2KtsW9tBoDNQfBhbyXRT5TwKKENmw7ewdxv0SRmKaDlc7Cz7vWoM2VT1yrZPr0aijBIcEc+b+GQDcrd0ZHjCczuU6Y6Y2y5VrCJEtV/coa/xEKaPPsC+prJjs3xPkuyjykQQUIbLpxv1khqwI5VxUAgBVSjowvHk52lcviZn6xYOKwWjgr+t/MTt0NreSbgFQ3qk8Y4PG0rhUYxnxI/KPwQCnf4cdn0K8MvoM96rQagpUaC0jfkS+kIAiRA6kafXM3nGJ5Qevk5yhB6C8ux3vtqlI22qeuRIiMvQZ/HzhZxaeXEh8ujIEuo5nHcYHjaeaa7UXPr8Q2aZLh6Pfw97/QVqcss+3MbT+FEoFmrQ0UfRJQBHiOcSlZLD04HWWHLhOfKoWgFqlHRndqgKNyrvlSkfahIwEfjj1AyvOriDDkAFAe9/2jAwcibe99wufX4hsS30A+4LhyELQpyv7qr8KLSdCCV+TliaKLgkoQryAhDQti/ZeZdH+a6Q8fKJib6WhWSV3OlT3pG01T9Qv2PwTlRTFN2HfsPHKRowY0ag19KjUg8E1B+Nk5ZQLdyFENsVFwM7P4eRqZdvMAuq8A03eBZvcXYRTCAkoQuSCe0npzN99hfVht7mXlJ65v66fM9O71aCs24uve3I+9jwzQ2Zy8PZBAOzN7Xm75tv0rNwTK03urSUkxDNFhStT519TRp9h5QiNx0PdwWAu30WROySgCJGLDAYjJyLj2HommuWHbpCq1WOhUTO6ZQW6BJTCy9HqhfupHLx1kOCQYC48uACAp60nIwNG8rLfyzLiR+QfoxGu7IBtn8Cd08o+R29o8THUeB3UL97MKYo3CShC5JHI2BQ+WnuKfZfuZe7zdLAiqEwJmlR0pXkld9wdnu+3TYPRwKarm5hzYg7RydEAVCpRiXFB43ip1Eu5Ur8Q2WLQw8mfYednkKCMPsOzhtKRtlwL09YmCjUJKELkIaPRyNoTt1h68DpnbiegN2T9T6hGKUf6NihD98DSz9VXJV2fzspzK1l0chGJ2kQAGpRswLja46jsXDlX7kGIbNGmwpEFSmfadGUoPuVaKEHFs4ZpaxOFkgQUIfJJSoaOkzfjOXI1lp0X7hIeGZf5Xu0yJZjapTpVSj7fdzQuLY7vTn3HT+d/QmfQoUJFp3KdGOE/gpJ2JXPpDoTIhuT7sO9rZXiyQQuooNab0OL/wLG0qasThUieBpS9e/fyv//9j5CQEKKioli7di1dunTJfL9///4sW7Ysy2fatm3Ln3/+mbkdGxvLyJEj2bhxI2q1mu7duzN79mzs7LLX6VACiiioYhLT+S3kJnN3XiIlQ4+ZWkXLyu5U83Kkckl7gsqUwNXOMkfnvJl4kzkn5rDl2hYALNQW9Krai7drvI2DhXz/RT6KvQY7pyoTvgGYWUL9odBoLFg7mbQ0UTjkaUDZsmULBw4cICgoiG7duj02oNy5c4clS5Zk7rO0tKREiX+Wt2/fvj1RUVEsXLgQrVbLgAEDqFOnDqtWrcr1GxTCFKLiU5n6x1k2n4rOst/CTM0bdbwZ0qwcpZysc3TOM/fOMCNkBseijwHgaOnIoBqD6FG5BxZmFrlWuxDPdDNEmTr/xgFl27oENHkf6gwETc4CuChe8q2JR6VSPTagxMXFsW7dusd+5ty5c1StWpVjx45Ru3ZtAP788086dOjAzZs38fLyeuZ1JaCIwiIsMo7j12M5F5XIqVtxXLyTBIC5mYquAaV4o443gT4lsj0KyGg0su/WPmaGzORy3GUAStmVYlTAKNr5tUOtklEWIp8YjXDxL9g2Ce4po89wKgOtPoGqXWXEj3gskweUdevWYWFhQYkSJWjRogWfffYZLi7KcvOLFy9m/PjxPHjwIPMzOp0OKysrfv31V7p27frIddLT00lP/2ceioSEBLy9vSWgiELn8NX7zNlxiYNX7mfuK+Niw2tBpRnYqCzWFtkbUqw36Fl/ZT3zTszjbupdAKq6VGV80HjqlqybJ7UL8Vh6HYSthF1fQNLDJ4ZegUpHWr/Gpq1NFDg5CSi5HnHbtWvH8uXL2bFjB19++SV79uyhffv26PXKjJzR0dG4u7tn+YxGo8HZ2Zno6OjHnZJp06bh6OiY+fL2linBReFUv6wLq96pz29DGtA9sDQ2FmbcuJ/C11sv0nnefi7dSczWeczUZnSr0I2NXTcyMmAktua2nL1/loFbBzJ8x3AuPbiUx3cixENmGgjqB6NCofnHYGEHt0NhWUdY9QbcPWfqCkUhletPUP7r6tWrlCtXju3bt9OyZUu++OILli1bxoULF7Ic5+7uzpQpUxg6dOgj55AnKKKoSsnQsflUNF/+eZ6YxHSszNVMeaUar9f2ztHkb/dT77Pw5EJ+vfArOqMOtUpNl/JdGFZrGB62Hnl4B0L8R1IM7JkOx5eAUQ8qNQT0hmYfgYOMPivuTPoE5b/Kli2Lq6srly8r7eWenp7cvXs3yzE6nY7Y2Fg8PT0few5LS0scHByyvIQoCmwsNLwaVJrNoxrTuIIraVoDH/x+ir6Lj2b7aQqAi7ULH9X7iHVd1tG6TGsMRgNrLq2h49qOzAmdQ1JGUh7ehRD/YucGL8+A4UegSicwGiB0OcwJUCZ+S0swdYWikMjzgHLz5k3u379PyZJKcm7QoAFxcXGEhIRkHrNz504MBgP16tXL63KEKJDc7C1ZNqAu77erhIWZmn2X7tFu9j4mbziTubJydpRxKENws2B+bP8jAe4BpOnT+P7U93RY04FV51ah1Wf/XEK8ENcK8MYKeGsreNcDXSrs/Z8SVI5+D/JdFM+Q4yaepKSkzKchAQEBBAcH07x5c5ydnXF2dmbKlCl0794dT09Prly5wvvvv09iYiKnTp3C0lIZfta+fXvu3LnDggULMocZ165dW4YZCwHcuJ/M55vOsfXsHQDKutryQ/86+Lna5ug8RqORXZG7mBkyk+sJ1wHwsfdhdOBoWpdp/cLrBwmRbUYjnP9DWeMn9oqyz7mcMuKnyisg38ViI09H8ezevZvmzZs/sr9fv37Mnz+fLl26cOLECeLi4vDy8qJNmzZMnToVD49/2sFjY2MZMWJElona5syZIxO1CfEvBy7f471fw7kdn4ajtTkLegfRoJxLjs+jM+hYc2kN88LmEZsWC0BNt5qMDxpPoEdgbpctxJPptRCyFHZPh5SH61mVrgttpoJPfZOWJvKHTHUvRBFxNzGNQctDCIuMQ6NWMbhpWTr7l6Kih32Oz5WsTWbZmWUsPbOUVF0qAC28WzA6aDRlHcvmdulCPFl6IhyYA4e+AW2Ksq9yR2g1WWkaEkWWBBQhipA0rZ53fw3nj5NRmfvKu9vRPbA0fRuUwdZSk6PzxaTEMD98PmsurUFv1GOmMqN7he4M9R+Kq7VrbpcvxJMlRMHuaXDiR6UzrcoMgvpDsw/Bzv2ZHxeFjwQUIYoYo9HIxpNRrD9xi32X7pGhNwDgbGvBkKZl6VPfN9uTvP3tatxVZoXOYlfkLgCsNdYMqDaAftX6YWNuk+v3IMQT3T0P2yfDRWW9KSzs4KVR8NIIsMhZ3ytRsElAEaIIS0jT8uepaL7dfZnr95XH4652lgxpWpbe9ctgZZ6zoHI8+jjBIcGcuncKABcrF4b5D6NbhW5o1Dl7OiPEC7m+H7ZOVCZ6A7DzgOYfgX9vZUI4UehJQBGiGNDpDaw9cYs5Oy8RGav0KXG3t2RQk7K84u+Fu71Vts9lNBrZemMrs0NnE5kYCYCfox9jA8fSzLuZjPgR+cdohDNrYccUeHBd2edaCVpPgYrtZMRPIScBRYhiRKs38HvITebuvMytOCWoqFQQ4O1E++ol6VnPJ9v9VLR6Lb9c/IWF4Qt5kK6slxXoHsj42uOp6VYzz+5BiEfo0uH4YtjzFaQqo88o0xBaT4XSQaatTTw3CShCFEMZOgO/HI/k15CbhEfGZe73dLBiYseqdKjhme0nIYkZiSw5vYTlZ5eTrleWmWhTpg2jA0fj4+CTF+UL8XipcXBgFhyeD7o0ZV+1rtByEjjL6LPCRgKKEMVcdHwaW89Gs2jfNSJilX4qjSu48nmXGvi4ZL8DbHRyNPPC5rH+8nqMGNGoNLxe6XUG1xqMs5VzXpUvxKPibyorJoetAoygNoc6b0OT98A25/MDCdOQgCKEAJQhyvN3X2H+nitk6AzYWWr4vGt1OvuXytF5Lj64yMyQmey/tR8AO3M7BtYYSK8qvbDWWOdF6UI8XvRp2P4JXN6ubFs6QKOxUH8omMt3saCTgCKEyOL6vWTe+y2cY9eVfiWvBpVmWLNylCphjaUm+6N+DkcdJvh4MOdizwHgbuPOCP8RvFLuFczUORs9JMQLubILtk2EaGX0GQ6loPn/Qa0eIN/FAksCihDiETq9gbk7LzN35yUMD/+rV6mgpIMVHWqU5L12lbIVVgxGA1uubWFO6BxuJ98GoLxTecYFjaNRqUYy4kfkH4MBTv0KO6dCvDL6DPdq0PpTKN9SRvwUQBJQhBBPdOTqfb7Ycp6L0YmkavWZ+wN8nFjQOwgPh+wNT07Xp7P6/Gq+O/kdCRkJANTzrMfY2mOp5lItT2oX4rG0aXD0O9j3NaTFK/v8mipBxcvfpKWJrCSgCCGeyWg0cj85gyNXY5mw5iQJaTpc7SyZ3zuQOr7Z7wAbnx7PD6d+YOW5lWQYMgDo4NeBUYGjKGWXs74uQryQlFjYN0MJK3rlu0iN16HlRHCS0WcFgQQUIUSOXL+XzJAVIZyPTkSjVvFe20q807gsanX2H5HfTrrN3BNz+ePqHwCYq815s/KbDKo5CEdLx7wqXYhHPbihNPuc+lXZNrOAeoOh8XiwLmHa2oo5CShCiBxLydDx4e+n2BCu9CtpUdmdGa/VooStRY7Oc+7+OWaEzOBI1BEA7C3sGVRjEG9WeRNLM8tcr1uIJ7p9Qpk6//o+ZdvKCZq8C3XeAfPsz7Qsco8EFCHEczEajfx0NJLJG8+QoTPg5WjF3J4BBJXJ2ZwnRqORg7cPMiNkBpceXAKgpG1JRgaM5OWyL6NWqfOifCEeZTQqQ5K3TYK7Z5V9jj5Ks0/1V0Et38X8JAFFCPFCzt5OYMSqUK7eS8ZMreL952jyAdAb9Pxx9Q/mnpjLnZQ7AFRxrsLYoLE08GqQF6UL8XgGPYT/BDs/h0TlKSGeNaHNVCjbzKSlFScSUIQQLywpXcdHa/5p8gnwccJKY0Z0Qho6g4FxrSvSNaB0ts6Vpktj5bmVLDq1iCRtEgANvRoyNmgslZwr5dk9CPGIjBQ4Mh/2zYSMRGVf+VbKiB8PGX2W1ySgCCFyhdFoZPWxSD7ZoDT5/NdHHSozqEm5bJ/vQdoDvjv5HasvrEZn0KFCRadynRgZMBJPW8/cLF2Ip0u+pyxEePwHMOgAFfj3guYfgaOMPssrElCEELnq8t0k9lyMwcXWgpKOVmw9e4cf9l8DYFCTsnzYrnKOmn8iEyKZc2IOf17/EwBLM0t6V+nNwBoDsbewz5N7EOKx7l+BHZ/C2XXKtsYK6g+DRmPASkaf5TYJKEKIPLdwzxWmbTkPQP2yznzUoQo1Szvl6BynYk4xI2QGIXdCAHCydGJwzcG8UekNzM3Mc7tkIZ7s5nFlxE/EQWXb2hmafgC13wJNzkayiSeTgCKEyBe/h9xkwtpTmc0/L9csyYftKuPtnP0Vk41GI3tv7iU4JJir8VcBKG1XmtGBo2nr21amzhf5x2iEC1uUxQjvXVT2lfCFlp9Ata4ydX4ukIAihMg3Nx+kELz1ImvDbmE0gq2FGZ+8Uo3XgkrnKFzoDDrWXV7HvLB53Eu9B0B1l+qMqz2OOp518qp8IR6l18GJH2HXF5B8V9lXKghaTwXfhqatrZCTgCKEyHdnbyfwyYbTmSsmt6/uyWddquNil7PJ2VK0KSw/u5wlp5eQoksBoFnpZowJGkM5p+x3yBXihaUnwaF5cGA2aJOVfZU6QKvJ4Cajz56HBBQhhEnoDUYW7r1C8NaL6AxGzNQqapRy5KVyLrSu6kGAT/anGb+Xeo8F4Qv47eJv6I161Co1Xct3ZZj/MNxt3PPwLoT4j8Q7sGc6hCwDox5UagjsC80mgL2MPssJCShCCJM6fSue9387ydmohCz7e9Xz4aMOVbC11GT7XNfirzEndA7bI7YDYK2xpm/VvgyoPgBbc9tcrVuIp4q5CDumwHllvSnMbeClkcrLUkafZYcEFCFEgXArLpVDV+6z+8Jd/jgZBYCPsw3Tu9WgQTmXHPVROXH3BDOOzyA8JhwAZytnhtYaSveK3TFXy4gfkY9uHIJtE+HmMWXb1h2afag8VZHRZ08lAUUIUeAcvHyP9347ya24VAA8HCxpXMGNFpXdaVvNE7NszKNiNBrZEbGDWaGzuJFwAwBfB1/GBI6hhU8LGfEj8o/RCOc2wPbJEKuMPsOlgtI/pfLLMuLnCSSgCCEKpMQ0LdO2nGdN6E3StP/MTNuisjuze/hjb5W93z61Bi2/X/yd+eHziU2LBcDfzZ/xtcfj7+6fF6UL8Xh6LRxfovRRSbmv7POur6zx413XtLUVQBJQhBAFWppWz7Hrsey5EMOPh2+QrjNQwd2OH/rVwccl+3OoJGuTWXJ6CcvPLidVpzyZaeXTitGBo/F19M2j6oV4jLQEZbTPoXnw8LtIlVeUJyouMvrsbxJQhBCFRnhkHIN+PM6dhHScbMxZ/lbdHM9IezflLt+Gfcvay2sxGA2Yqcx4teKrDKk1BFdr17wpXIjHSbitzJ8SthKMBlBrIGiAMiutnZupqzM5CShCiELlTkIag5YfJ/xmPBXc7dg8ujHmZuocn+dK3BVmhcxi983dANhobBhQfQB9q/bFxjz7T2aEeGF3zir9Uy79pWxb2EHDMdBgGFgU39FnElCEEIVOfIqW5jN2E5ucwccvV+HtxmWf+1zHoo8RfDyY0/dPA+Bm7cYw/2F0Kd8FjTr7Q5yFeGHX9ipr/ESFKdv2JZUVk/17gdrMpKWZQk5+fuf4V5S9e/fSqVMnvLy8UKlUrFu3LvM9rVbLBx98QI0aNbC1tcXLy4u+ffty+/btLOfw9fVFpVJleU2fPj2npQghihBHG3M+bFcZgJnbLnInIe25z1XHsw6rXl7F/5r8j1J2pYhJjWHKoSl039Cd3ZG7KYS/l4nCyq8JvLMLuv8ATj6QGAUbRsL8hnDxL2U0kHisHAeU5ORkatWqxbx58x55LyUlhdDQUCZOnEhoaChr1qzhwoULvPLKK48c++mnnxIVFZX5Gjly5PPdgRCiyHg1qDT+3k4kZ+j5YvO5FzqXSqWinV87NnTZwAd1PsDR0pGr8VcZuXMkb/31Fqfvnc6lqoV4BrUaarwKI45D2y/AyglizsGq12FZJ7gVauoKC6QXauJRqVSsXbuWLl26PPGYY8eOUbduXW7cuIGPjw+gPEEZM2YMY8aMea7rShOPEEXX6VvxdPpmP0YjfPxyFQJ8SuDnaksJG/MXmuckISOBxacWs+LcCtL16QC0823HqIBReDt451b5Qjxb6gPYPxMOL4CH30Wqd4cWE8HZz7S15bF864OSnYCyfft22rRpQ1xcXGYxvr6+pKWlodVq8fHxoWfPnowdOxaN5vFtw+np6aSnp2duJyQk4O3tLQFFiCLq43WnWHE4Iss+TwcravuWoK6fM9W8HCnlZI2bvWW2Jnj7t+jkaOaemMvGKxsxYkSj1tCjUg8G1RxECavsrxUkxAuLi4Rdn0P4asAIanOo+w40eQ9snE1dXZ4oMAElLS2Nhg0bUrlyZVauXJm5Pzg4mMDAQJydnTl48CATJkxgwIABBAcHP/Y8kydPZsqUKY/sl4AiRNGUkqFj7s7LhEXEceN+MrfjH98fRaNWUcbFhkblXWlcwY0G5Vyyvc7PhdgLzAyZyYHbBwCwM7djYI2B9K7SGyuNVa7dixDPFHUStk2Cq7uUbUtHaDwO6g0Gc2vT1pbLCkRA0Wq1dO/enZs3b7J79+6nFrJ48WIGDx5MUlISlpaPLs0uT1CEKN5SMnSERcZx7NoDjt+I5WpMMtEJaegNWf/3ZW+lYdlbdQnMwarJB28fZGbITM7HngfAw8aDkQEj6Vi2I2bFcJSFMKHLO2DbJ3DnlLLtUBpafAw1Xy8yI35MHlC0Wi2vv/46V69eZefOnbi4uDz1PGfOnKF69eqcP3+eSpUqPfO60gdFCKE3GLmbmMbJm/HsvRjD7gsx3IpLxcfZhs2jG2OXgxWTDUYDm65uYu6JuUQlK4saVixRkXFB43jJ6yVZ40fkH4MeTv4COz+DhJvKPo8a0HoKlG9p2tpyQZ4OM36Wv8PJpUuX2L59+zPDCUBYWBhqtRp3d/fcLkcIUUSZqVWUdLSmbTVPPu9ag82jG1PKyZqI2BQ+3XgmR+dSq9R0KteJjV03Mj5oPPYW9lx8cJEh24cwaNsgzt1/sRFFQmSb2gz834SRx6HVFKW5584pWNENfuyqNAcVEzl+gpKUlMTly5cBCAgIIDg4mObNm+Ps7EzJkiV59dVXCQ0N5Y8//sDDwyPzc87OzlhYWHDo0CGOHDlC8+bNsbe359ChQ4wdO5b27duzbNmybNUgT1CEEI9z+Op93vz+MEYjLOgdSLvqJZ/rPHFpcXx/6nt+Ov8TWoMWgI5lOzIyYCRedl65WbIQT5cSC3u/hqPfgUELqKBWD2j+f+BU+Eaf5WkTz+7du2nevPkj+/v168fkyZPx83v8EKldu3bRrFkzQkNDGTZsGOfPnyc9PR0/Pz/69OnDuHHjHtv/5HEkoAghnmT6lvMs2HOFEjbm/DK4ARU87J/7XDcTbzL3xFw2X9sMgIXagl5VejGwxkAcLR1zq2Qhni32mtLsc/o3ZdvMEuoPgUbjwNrJpKXlhEx1L4QotjJ0BrrMO8DZqATUKugaUJrRLSvkaJXk/zpz/wzBx4M5Gn0UAAcLBwbVHMSbld/Ewswit0oX4tluhcDWSXBjv7JtXUIZllznbdBk75d8U5KAIoQo1m7HpfLJhjNsO3sHUIYjN6vkTvvqnrSq6oGjtXmOz2k0Gtl/az/BIcFcjlOauUvZlWJkwEja+7VHrcr1Ln1CPJ7RCJe2KkOTY5TRZzj5QMtPoFo3ZebaAkoCihBCAGGRcQRvu8jeizGZ+8zNVIxuWYERLSo81zn1Bj0brmzgmxPfcDf1LgBVnKswvvZ46pWslyt1C5Eteh2Er4Kdn0NStLKvpD+0maqsAVQASUARQoh/OR+dwOZT0fx5OoqLd5IAWPl2PRqWd33uc6bqUllxdgU/nP6BZG0yAI1KNWJs0FgqlqiYK3ULkS0ZyXDoWzgwCzKU7zcV2kKryeBR1ZSVPUICihBCPMH/rT3FyiMReDla8efYJjhYmWMwGFl1NII0rZ4BDf1yNH1+bFosC8MX8suFX9AZdahQ0bl8Z4b7D8fT1jMP70SI/0iKgT1fQsgSMOhApQb/XtD8I3AoGKPPJKAIIcQTJKfraD97HxGxKbwaVJoP2lVm3C9h7Lt0D4BWVTyY86Y/NhbZn+gNICIhgtmhs9l6YysAVmZW9KnahwHVB2Bv8fwjiYTIsXuXYccUOLdB2dZYQ4Ph0HA0WJn2Z6YEFCGEeIpj12N5feEhjEZwsjEnLkWLlbkag1EZBVSztCOL+tXG3T7na/KEx4QTfDyY0LuhAJSwLMHgWoN5veLrmJvlvHOuEM8t8ihsnQiRh5VtGxdo+iEE9QeNaUafSUARQohnmLb5HAv3XgWgoocd3/QMJDFNy9vLjvMgRYuzrQU1SjlSxsUG7xI2uDtY4mZviXcJG7ydnz5k2Wg0sjtyNzNDZ3It/hoA3vbejA4cTZsybWTqfJF/jEY4vwm2fwL3ldFnOJdV+qdUeQXy+bsoAUUIIZ4hTavnk/VncLQxZ2yrilhbKIuxXbuXTP8lR7lxP+WJn+3boAyTO1VD/Yy+KjqDjjWX1vBt2LfcT7sPQE3XmoyrPY4gj6DcuxkhnkWvhdBlsHs6JD8c1Va6DrSeCmUa5FsZElCEEOIFpGn1hN54QERsChGxKUQ+SCUmMY27ielcu5eM0Qhv1vXh8y7VnxlSAFK0KSw7s4wlZ5aQqksFoJl3M8YGjqWsU9m8vh0h/pGeCAfnKi/twxBeuaMyh4pb3o8+k4AihBB5ZE3oTd79NRyDEXrU8eaLrjWyFVIA7qXeY37YfH6/9Dt6ox61Sk23Ct0Y7j8cV+vnH/IsRI4lRsPuaRC6HIwGUJlBUD+lj4q9x7M//5wkoAghRB5ad+IW434Jw2CEttU8+LJ7TZxsst/p8Gr8VWaHzGZn5E4ArDXW9K/Wn/7V+mNj/vxT8guRYzEXYPtkuKCsN4W5LTQcBQ1GgKVdrl9OAooQQuSxDeG3GfdzGDqDkZKOVgS/7k+Dci45OkfonVBmhMzgZMxJAFysXBjmP4yuFbpirpYRPyIfXT8A2yYqa/0A2HkoKyYH9cvVy0hAEUKIfHDyZhyjV4dx7V4yKhWMaF6esa0qZrvJB5QRP9tubGN26GwiEiMA8HXwZUzQGFp4t5ARPyL/GI1wdh1snwIPrkFAH+j8Ta5eQgKKEELkk5QMHZ9uPMvqY5EAtKzszswe/jhY5ewJiFav5deLv7IgfAEP0h8AEOgeyLja46jlVivX6xbiiXQZcHwxVH0l12eglYAihBD5bH3YLd7/7STpOgPl3GxZ1K8Ofq62OT5PUkYSi08v5sezP5KmTwOgdZnWjA4cTRmHMrldthD5SgKKEEKYwMmbcQxaHkJ0QhqudpbsGN8UR+vHP0lJ0+oJjXhAUJkSWGrMHnn/TvId5oXNY/2V9RiMBjQqDa9Veo3BNQfjYp2zvi5CFBQSUIQQwkTuJqbRY+Fhrt5LZmAjPyZ2fHQ12ZjEdAYsPcrpWwmUcrJmTKsKdAss/dhFCi8+uMiskFnsu7UPAFtzW96q/hZ9qvbBWmOd5/cjRG6SgCKEECa052IM/RYfRaNW8eeYJpR3/2e45o37yfRd/OhMteXd7fiye02CypR47DmPRB0hOCSYs/fPAuBu7c6IgBG8Uu4VzNSPPoERoiDKyc9vdT7VJIQQxUbTim60rOyOzmDk801nM/eH3HhA9/kHuXE/BW9na7aMbsyE9pVxsjHn8t0kei86wsHL9x57znol6/HTyz/xZeMvKWVXirupd5l0cBKvbnyVvTf3Ugh/1xTiqeQJihBC5IGrMUm0nbUXrd7IF11rcPjqfTaE3wagSkkHlr1VJ3O15IQ0LSNWnWDvxRgsNWq+61ubphXdANAbjI80/WToM1h9fjULTy4kISMBgLqedRkXNI5qrtXy8S6FyBlp4hFCiALgi83n+O7hisl/6xZQismdqz0yDDlNq2f4ylB2nL+LhZmaun7O3IhN5taDVGqUcmR2jwB8/zMqKD49nh9O/8DKsyvJMGQA0N6vPaMCRlHavnTe3pwQz0ECihBCFAAJaVpazdjD3cR0XirnwkcdqlC9lOMTj8/QGRj10wn+PBP9yHv2Vhpmvu5Pq6qPrpMSlRTFN2HfsPHKRowYMVeb06NyDwbVGISTlVNu3pIQL0QCihBCFBBR8anEJKZTo5RjtmaF1ekNbDkdTapWj6+LLY7W5ny09hQhN5TJ2/q/5Mvrtb2pUtL+kfOdu3+O4JBgDkcdBsDe3J63a75Nz8o9sdJY5f7NCZFDElCEEKIIydAZ+GLzOZYevJ65z9vZmgDvEiSkabmflEGqVo+XkzU+ztaY2VziZMoKLsdfAsDT1pORASPpWLYjapWMjRCmIwFFCCGKoO1n7/Dz8Uj2XowhXWd46rGvB5WiUWAEc0/MJTpZaTKqVKIS42qP4yWvl/KjXCEeIQFFCCGKsJQMHXsv3uPG/WRK2FrgYmuBlbkZtx6kcuFOIj/sv4ZGrWLP+81xsVOx6vwqFp1cRKI2EYCXvF5iXNA4KjlXeuTcF+8kEhmbQvNK7jla9FCI7JCAIoQQxVivRYc5cPk+feqXYWqX6gDEpcXx1ZFv2Hzjd/RGHaCimkNzXiv7NjU8fbl4J5Hlh25w9FosAL3r+zC1c3VZTVnkqpz8/NbkU01CCCHyyYjmFThw+T4/H49kRIvyeDhYse10Ij/9GQAaHyzdtmLuGM6ZhJ2cDt1LRmxDMu43A4M1ZmoVBqORFYcjMDdTM6ljVQkpwiSkt5QQQhQx9cs6U7tMCTJ0Br7fe5XNp6L44PeTGI1Q2dWP+vajCNRMxp5KqNQ6LF33YF/hf7Ssd56d7zbky241AVhy4DrTtpyXWWqFSUgTjxBCFEG7L9yl/5JjWGrUGIxGtHojPep4M61bjcwnIkajkX239hF8PJgr8VcAKGVXitGBo7l/pzIfr1Om6W9Q1oX32lUi0Ofx6wT92/noBK7GJJOhM5ChN1C6hDUNyrrIUxgBSB8UIYQo9oxGI53nHeDkzXgAOtXyYtYb/o9dMVln0LH+8nrmhc0jJjUGgGou1ahh04tlOzRk6JURQ62rejCpY1W8nW2yfD42OYN1J27xW8hNzkYlPHL+kS3KM651RQkpQgKKEEII2Hsxhv5LjtK6qgff9AzE3Ozprfop2hR+PPsji08vJkWnrLZc16Mh5vGd2BoGBiN4Olix6p16lHVTVmjeef4Oo34KIyldB4CFmZoapR2xNjfDiJEDl+8DMKpFecZKSCn28nQ1471799KpUye8vLxQqVSsW7cuy/tGo5FJkyZRsmRJrK2tadWqFZcuXcpyTGxsLL169cLBwQEnJycGDhxIUlJSTksRQgjxFE0qunFiYhsW9A56ZjgBsDG3YXCtwWzutpkelXqgUWk4eucAh9I/onOrA5T10BGdkMYb3x3m8t1Elh64xtvLjpOUrqOypz1TO1fj6P+15PehL7Hi7XqsfLs+H79cBYA5Oy8zc9tF9IZC9zuxMJEcP0HZsmULBw4cICgoiG7durF27Vq6dOmS+f6XX37JtGnTWLZsGX5+fkycOJFTp05x9uxZrKyUqZbbt29PVFQUCxcuRKvVMmDAAOrUqcOqVauyVYM8QRFCiLx3Pf46c07MYduNbQBYmllikdSc2xH1sTazJVWrB+CN2t581rX6E0PQon1X+WzTOQAcrc1pXMGVZpXcaV/dE1tLGUxanORbE49KpcoSUIxGI15eXowfP553330XgPj4eDw8PFi6dCk9evTg3LlzVK1alWPHjlG7dm0A/vzzTzp06MDNmzfx8vLK1RsUQgjxYsLuhjHj+AzCYsIAUBvsSLnbEu2DunzQrhpDmpZ9ZtPN8kPX+fqvCySk6TL3OVhp6FW/DP1f8sXDQdYKKg7ytInnaa5du0Z0dDStWrXK3Ofo6Ei9evU4dOgQAIcOHcLJySkznAC0atUKtVrNkSNHHnve9PR0EhISsryEEELkD393f5a3X86s5rPwdfDFoE7CynM9ZQO+pbzf1Wydo28DX0Intub3oQ0Y2aI8fq62JKTpmL/7Co2+3MlrCw4yecMZfgu5SXyqNtu1Ld5/jaCp2zh05f7z3p4ooHI1oERHK+s9eHhkXQ7cw8Mj873o6Gjc3d2zvK/RaHB2ds485r+mTZuGo6Nj5svb2zs3yxZCCPEMKpWKlj4tWdN5DR/X+xhnK2di0m4xbvc4+mzpw4m7J555Do2ZmqAyzoxvU4kd45ryXZ8g6viWQKs3cuz6A5YevM67v4bT+Zv9JKQ9O6QcuHyPzzad5X5yBlP/OCvztRQxhWKitgkTJhAfH5/5ioyMNHVJQghRLJmrzXmj8hts7raZIbWGYK2xJjwmnL5b+jJm1xiuxV/L1nnUahVtqnny65CX2DG+KTPfqMXARn6421ty/X4KH/5+8qmB405CGqNXn+DvPrdnoxLYdvZObtyiKCByNaB4enoCcOdO1i/JnTt3Mt/z9PTk7t27Wd7X6XTExsZmHvNflpaWODg4ZHkJIYQwHVtzW4b7D2dT1028WvFV1Co1OyJ20HV9Vz47/Bn3Uu9l+1zl3OzoGlCaiR2r8l3f2pibqdh8Kprlh2489nit3sCIVaHcS8qgsqc9bzX0A2DW9kvyFKUIydWA4ufnh6enJzt27Mjcl5CQwJEjR2jQoAEADRo0IC4ujpCQkMxjdu7cicFgoF69erlZjhBCiDzmZuPGJw0+Yc0ra2jm3Qy9Uc/PF36mw5oOzA+fT4o2JUfn8/d2YkJ7ZWjy55vOcfJmXJb3jUYjn/1xlmPXH2BnqWF+7yBGtiiPrYUZZ6MS2CpPUYqMHAeUpKQkwsLCCAsLA5SOsWFhYURERKBSqRgzZgyfffYZGzZs4NSpU/Tt2xcvL6/MkT5VqlShXbt2vPPOOxw9epQDBw4wYsQIevToka0RPEIIIQqeck7lmNtiLovbLqa6S3VSdal8G/YtL699mV8v/orOoHv2SR4a0NCXttU8yNAbeGf5cY5cVTrAGgxGPtlwhmUPn6x89WpN/FxtKWFrQf+GvgDMfsxTFKPRyI+HrrPnYkzu3KzIFzkeZrx7926aN2/+yP5+/fqxdOlSjEYjn3zyCd999x1xcXE0atSIb7/9looVK2YeGxsby4gRI9i4cSNqtZru3bszZ84c7OzsslWDDDMWQoiCy2g08teNv5gdMpubSTcB8HP0Y2zgWJp5N8vWbLLxqVq6zz/I5btJqFUwvHl57iak8/PxSFQq+LxLDXrW88k8/kFyBo2+3Elyhp4FvYNoV/2fLgM7z9/hraXHsbfScGJiazTZmLRO5A2Z6l4IIYTJafVafrn4CwvCFxCXHgdAoHsg42uPp6ZbzWd+Pjldx+QNZ/g15GbmPrUK/vdqLboHlX7k+P/9dZ55u65QpaQDm0Y2Qv1w3aHei46w/7LSJ+aPkY2oXsoxF+5OPA+TzYMihBBC/M3czJxeVXqxudtm3q7xNpZmloTeDaXX5l6M3z2eyISnj8i0tdTwv9dqMefNAOwtNWjUKua8GfDYcALwdqOy2FlqOPevvigXohMzwwlAyI0HL3RP6To9n6w/zbQt57h8N/GFziWeTp6gCCGEyBfRydF8c+IbNlzZgBEjGrWGNyq9weCagylhVeKpn41LySA5Q08pJ+unHvf1Xxf4ZtdlKnvas3lUYyasOcXPxyMxN1Oh1RvpVMuLuW8GPPc9/BZyk3d/Dc/cDvBxYlSLCjSv7P6UT4m/yRMUIYQQBY6nrSefNfqMXzv9SsNSDdEZdKw8t5IOazqw6NQiUnWpT/ysk43FM8MJwNuN/bCz1HA+OpGfjkWwNuwWAKNaVAAg5HrsEz/7e8hNXl94iGv3kp94zB8nbwPg62KDmVrFiYg43l5+/KmfEc9HAooQQoh8Vcm5EgtaLeC71t9RxbkKSdokZofOpuPajqy9tBa9Qf/c53aysWDAwxE9E9edJkNnoFZpRwY29sNMreJ2fBq34x4NQmdux/PhmpMcvRbLmNUn0OkNjxzzIDmD/ZeU5qIf+tfh0IQWNCjrgt5gJHjbxeeuWTyeBBQhhBAm0cCrAas7rmZa42l42XpxN+Uukw5O4rU/XmP/rf3PPenawEbKU5S/Z5l9q5EfNhYaqpZUmhSO/6cfSmqGntGrw9DqlQ+E34zn291XHjnv1rPR6AxGqpR0oJybHe72VkzsWBWAjeG3OX0r/rnqFY8nAUUIIYTJqFVqOpbtyIauG3i39rvYW9hz6cElhm4fyjvb3uHs/bM5Pue/n6J4OFjSvnpJAILKKP1c/tvM88Xmc1y+m4S7vSWTHgaOOTsuPRI4/jgZBUDHmiUz91X1cqCzvzKH11d/XchxreLJJKAIIYQwOUszS/pV68eWblvoV7Uf5mpzjkQd4Y0/3uDDfR9yK+lWjs43tFk5BjUpy6w3ArDQKD/qavsqAeXY9X+eoOw4d4cfDysTv814vRYDGvrSrponOoOR8b+Ek65TmpvuJ6Vz8OGKyf8OKADjWldEo1ax92IMB69kf4p/8XQSUIQQQhQYjpaOvFvnXTZ23cjLZV8GYNPVTXRa24mvj31NfHr2mlFsLDR81KEKDcq5ZO6rXcYZgPPRCSSl64hJTOf9304CSrNQ4wpuqFQqPu9aHVc7Cy7cSWT0T2GkafX8eSYavcFIjVKOlHGxzXKtMi62vFlXmTTu/d9O0ueHI3Scu4/XFhzk1mP6uzyNVm9g94W7TFhzinm7Lj/SzKXTG7iXlJ6jcxZWMsxYCCFEgXX2/lmCjwdzJPoIAA4WDgyqOYgelXtgaWaZ4/M1+nInNx+ksvytuiw+cI3dF2Ko7GnPuuENsTI3yzxuz8UY3ll2nAy9gTq+JdAZjJyIiOPD9pUZ0rTcI+e9m5hG0692k6rN2sG3lrcTvw5ukPkUx2g0cjs+DWcbC6wt/rne6VvxrDxyg82noolP1Wbu3zK6MVVK/vNz7uN1p1h1JIIVb9fjpXKuOb5/U5OZZIUQQhQZRqORA7cPEBwSzKUHlwDwsvViZOBIOvh1QK3KfmPAmNUnWBd2m3JutlyJScZSo2bjyEZU9LB/5NhDV+4z6MfjJKb9s47Qvveb4+1s89hzh0Y8IPTGA0o8DB8T1pwiPlVLvwZlmNK5OolpWt79NZy/ztzBwkxNHb8SBJVxZt+lGE5ExGWex9VO+XxkbCojW5RnfJtKACSl66j92TbStAbaV/dkfu+gbN93QSEBRQghRJGjN+jZeHUjc0/M5W7KXQCqOFdhXO1x1C9ZP1vn+PHwDSauO525PblTVfo39Hvi8eejE+i/+BjRCWnU8nZi/fCG2a737zWAAN5rW4nfQ29yNebx86WYm6loX70kPep4U6+sCxvDbzPm5zDKutmyY1xTVCoVa0JvMu4XZZI4CzM1x/6vFY425oDyBGboyhAGNvR76v2YmgQUIYQQRVaqLpWV51byw6kfSNImAdCwVEPGBo6lknOlp372XFQC7WfvA6BpRTeWDqjzzMULb8el8t3eq3QNKEUtb6cc1fr3zLZ/83SwYn7vQOytzNl3KYbQiDgqedjxRh0f3Oz/abJKTNMS9Nl2MnSGzGaefouPZlmR+fOu1elVrwwAPb8/zMEr9zFTq/hlcIPMEUtGo5GNJ6NwtrGgUQXTNwlJQBFCCFHkxabF8t3J7/j5/M/ojDpUqHil3CuMCBiBp63nYz+jNxjpMHsfyRk61gx7CXd7qzytUW8w0nfxEQ5cvk/9ss580zMQV7vs9Z15e9lxtp+7w8gW5en3ki/1vtiB3mCkZz0fVh2JIKhMCX4f+hLHrsfy2oJDmZ/zdrZm86jG2Flq+GzTOX7Yfw1zMxW732uerdl485IEFCGEEMVGREIEc07M4a/rfwHKkOXeVXozsMZA7C0e7VuiNxjRGQxYasweeS8vpOv0nLoZj7+3Exqz7PeXWXviJmN/Dqesmy39GvjyyYYz1CrtyPd9a1N/2g4MRtj9bjMmrj/Nvkv36FTLi9AbD7gVl0rXgFJYatSsPvbPgox9G5Th087V8+IWs03W4hFCCFFs+Dj48HXTr1nZYSWB7oGk69P54fQPdFjTgZXnVqLVa7Mcb6ZW5Vs4AbDUmFHb1zlH4QSgVRUPLDRqrsYks2CPMrPtK/6lcHewolEFNwAmbzzDvkv30KhVvN+2ErN7+KNWwdoTt1h9LBK1CvrUV5qBVh+L5E5CWraubTCY/tmFBBQhhBBFQk23mixtt5S5LeZS1rEscelxTD86nVfWvcKf1/987qnzTcXeypwmD4NIVHwaKhV0ejhJXPfAUgDsvhDzcLs03s421PZ1ZsTDhRE1ahVz3gzg087VqONbggydgYV7rj7zuvsv3ePlufuz9HcxBQkoQgghigyVSkUz72b8/srvTGowCVdrV24m3eS9Pe/Ra3MvjkcfN3WJOfJyzX/60rxUzgV3B6XPTJuqntg+nEfFTK1iWPN/5mYZ1aI8X3Stwa9DGtCxphcqlYqRD0PLyiM3uJv4+KcoF6IT6b/kKL1/OMK5qATm7bz82OPyiwQUIYQQRY5GreG1iq+xqesmhvkPw1pjzal7pxjw1wBG7hjJlbhHFwMsiFpW8cDiYdNQZ/9SmfutLcx4+eHTlC7+pbLMbqsxU9Ozng8BPiUy9zWu4Iq/txPpOgOL9l3Lco10nZ4vNp+j/ey97L4Qg0atYkBDXxb2Me08K9JJVgghRJF3L/UeC8IX8NvF39Ab9ahVarqW78pw/+G42biZuryn+mH/NU5EPOB/r9bKMvtsfIqW9eG36BZYGjtLzTPP8/e8LBZmanrU9ab/S77oDEZGrw7jXFQCAO2qefJB+8r4udo+42zPR0bxCCGEEI9xLf4as0JmsTNyJwDWGmv6VetH/2r9sTXPmx/KBYXRaOSd5cfZfu5u5j5zMxVavREXWwu+7F6TVlU98rQGCShCCCHEU4TeCWVGyAxOxiiLBTpbOTOs1jC6VeyGudrcxNXlHaPRyMEr91m8/xo7zitBpVklN756tWaezwkDElCEEEKIZzIajWyP2M6skFlEJEYA4Ovgy5jAMbTwafHMGWYLu2v3komMTaFxBdd8u1cJKEIIIUQ2aQ1afrv4GwvCFxCbFguAv5s/42uPx9/d37TFFTESUIQQQogcSspIYsmZJSw/s5w0vTIUt3WZ1owKGIWvo69piysiJKAIIYQQz+lO8h3mh89n7eW1GIwGNCoNr1Z8lSG1huBi7WLq8go1CShCCCHEC7r84DKzQmex5+YeAGw0NrxV/S36VO2DjbmNiasrnCSgCCGEELnkaNRRgkOCOXP/DABu1m4M9x9O5/Kd0aifPf+I+IcEFCGEECIXGYwG/rr+F7NDZ3Mr6RYA5Z3KMzZoLI1LNS7yI35yiwQUIYQQIg9k6DP4+cLPLDy5kPj0eADqeNZhXNA4qrtWN3F1BZ8EFCGEECIPJWQk8MOpH1hxdgUZhgwA2vu2Z2TgSLztvU1cXcElAUUIIYTIB1FJUXwT9g0br2zEiBGNWkOPSj0YXHMwTlZOpi6vwJGAIoQQQuSj87HnmRkyk4O3DwJgb27PwBoD6VWlF1aavJ9CvrDIyc9vdW5f3NfXF5VK9chr+PDhADRr1uyR94YMGZLbZQghhBD5prJzZRa2XsjCVgupVKISidpEZoXOouPajqy/vB69QW/qEgudXH+CEhMTg17/z1/E6dOnad26Nbt27aJZs2Y0a9aMihUr8umnn2YeY2Njk6MnIfIERQghREFlMBrYdHUTc07MITo5GoCKJSoyLmgcDUs1NHF1ppWTn9+5PoDbzc0ty/b06dMpV64cTZs2zdxnY2ODp6dnbl9aCCGEMDm1Sk2ncp1o49uGledWsujkIi4+uMiQ7UNoULIB42qPo7JzZVOXWeDlehPPv2VkZLBixQreeuutLGPEV65ciaurK9WrV2fChAmkpKTkZRlCCCFEvrM0s+St6m+xudtm+lTtg0at4VDUIV7f+Dof7fuI20m3TV1igZannWR/+eUXevbsSUREBF5eXgB89913lClTBi8vL06ePMkHH3xA3bp1WbNmzRPPk56eTnp6euZ2QkIC3t7e0sQjhBCi0LiZeJM5J+aw5doWACzUFvSq0ouBNQbiaOlo4uryR4EZxdO2bVssLCzYuHHjE4/ZuXMnLVu25PLly5QrV+6xx0yePJkpU6Y8sl8CihBCiMLmzL0zzAiZwbHoYwA4WDgwqOYg3qz8JhZmFiauLm8ViIBy48YNypYty5o1a+jcufMTj0tOTsbOzo4///yTtm3bPvYYeYIihBCiKDEajey7tY+ZITO5HHcZgFJ2pRgVMIp2fu1Qq/K0B4bJmHSY8d+WLFmCu7s7L7/88lOPCwsLA6BkyZJPPMbS0hIHB4csLyGEEKKwUqlUNCndhN86/caUl6bgbu3OraRbfLDvA97c9CZHo46aukSTy5MnKAaDAT8/P958802mT5+euf/KlSusWrWKDh064OLiwsmTJxk7diylS5dmz5492T6/DDMWQghRlKRoU1hxbgWLTy8mWZsMQONSjRkbNJYKJSqYuLrcY/Imnq1bt9K2bVsuXLhAxYoVM/dHRkbSu3dvTp8+TXJyMt7e3nTt2pWPP/5Y5kERQghR7N1Pvc/Ckwv59cKv6Iw61Co1nct1Zrj/cDxsPUxd3gszeUDJaxJQhBBCFGU3Em4wO3Q2225sA8DKzIo+VfvwVvW3sLOwM3F1z08CihBCCFEEhN0NIzgkmBN3TwBQwrIEQ2oN4bWKr2FuZm7i6nJOAooQQghRRBiNRnZF7mJmyEyuJ1wHwMfeh9GBo2ldpnWWiVALOgkoQgghRBGjM+hYc2kN88LmEZsWC0BN15qMrz2eQI9AE1eXPRJQhBBCiCIqWZvMsjPLWHpmKam6VACaezdnTNAYyjqWNXF1TycBRQghhCjiYlJimB8+nzWX1qA36jFTmdG9QneG+g/F1drV1OU9lgQUIYQQopi4GneVWaGz2BW5CwBrjTUDqg2gX7V+2JjbmLi6rCSgCCGEEMXM8ejjBIcEc+reKQBcrFwY5j+MbhW6oVFrTFydQgKKEEIIUQwZjUa23tjK7NDZRCZGAuDn6MeYwDE0925u8hE/ElCEEEKIYkyr1/LLxV9YGL6QB+kPAAh0D2Rc7XHUcqtlsrokoAghhBCCxIxElpxewvKzy0nXpwPQukxrRgeOpoxDmXyvRwKKEEIIITJFJ0czL2we6y+vx4gRjUrD65VeZ3CtwThbOedbHRJQhBBCCPGIiw8uMjNkJvtv7QfA1tyWgdUH0rtqb6w11nl+fQkoQgghhHiiw1GHCT4ezLnYcwC4W7szImAEr5R7BTO1WZ5dVwKKEEIIIZ7KYDSw5doW5oTO4XbybQDKO5VnbNBYGpdqnCcjfiSgCCGEECJb0vXprD6/mu9OfkdCRgIAdT3rMq72OKq5VMvVa+Xk57c6V68shBBCiELF0sySftX6sbnbZgZUG4CF2oKj0UeZEzrHpHXJExQhhBBCZLqddJu5J+bSr1o/KjtXztVzSxOPEEIIIQocaeIRQgghRKEmAUUIIYQQBY4EFCGEEEIUOBJQhBBCCFHgSEARQgghRIEjAUUIIYQQBY4EFCGEEEIUOBJQhBBCCFHgSEARQgghRIEjAUUIIYQQBY4EFCGEEEIUOBJQhBBCCFHgSEARQgghRIGjMXUBz+PvBZgTEhJMXIkQQgghsuvvn9t//xx/mkIZUBITEwHw9vY2cSVCCCGEyKnExEQcHR2feozKmJ0YU8AYDAZu376Nvb09KpUqV8+dkJCAt7c3kZGRODg45Oq5Czq5d7l3uffiQ+5d7t0U9240GklMTMTLywu1+um9TArlExT1/7d3ryFRtG0cwP+rq6sdbNNwt1U2LQLLLCxTzKAPSQfk6UiRbLZUENVGWmFGYX6IMo3OhR0+1IfsCNlBiNjULMHDtquVWSYkdtykg2mZubnX8+VtcNOn1+dpdcbp+sGCe9834/UfnPFinHE9PBAcHNyr38PPz++P+8H9gbNz9j8NZ+fsfxoxs/+/Kyc/8E2yjDHGGJMcblAYY4wxJjncoPxEpVIhIyMDKpVK7FL6HGfn7H8azs7Z/zT9KXu/vEmWMcYYY/LGV1AYY4wxJjncoDDGGGNMcrhBYYwxxpjkcIPCGGOMMcnhBqWTo0ePIiQkBD4+PoiJiUFFRYXYJbldZmYmJk+ejMGDByMwMBDz5s1DbW2ty5q2tjaYTCYEBARg0KBBWLhwId6+fStSxb1n9+7dUCgUSElJEcbknP3Vq1dYunQpAgIC4Ovri4iICNy7d0+YJyJs374dw4cPh6+vL+Lj41FXVydixe7R0dGB9PR0hIaGwtfXF6NGjcKOHTtcPgtELtnv3LmDv/76CzqdDgqFAleuXHGZ70nODx8+wGAwwM/PD2q1GitXrsTnz5/7MMV/86vsDocDaWlpiIiIwMCBA6HT6bBs2TK8fv3aZRtyzP6z1atXQ6FQ4MCBAy7jUszODcr/XLhwARs3bkRGRgZsNhsmTJiAmTNnorGxUezS3Kq4uBgmkwllZWUwm81wOByYMWMGvnz5IqzZsGEDrl+/jkuXLqG4uBivX7/GggULRKza/SwWC44fP47x48e7jMs1+8ePHxEXFwcvLy/cuHEDNTU12Lt3L4YOHSqsyc7OxqFDh3Ds2DGUl5dj4MCBmDlzJtra2kSs/PdlZWUhJycHR44cwePHj5GVlYXs7GwcPnxYWCOX7F++fMGECRNw9OjRbud7ktNgMODRo0cwm83Iz8/HnTt3sGrVqr6K8J/9KntraytsNhvS09Nhs9lw+fJl1NbWYs6cOS7r5Ji9s7y8PJSVlUGn03WZk2R2YkREFB0dTSaTSXjf0dFBOp2OMjMzRayq9zU2NhIAKi4uJiKipqYm8vLyokuXLglrHj9+TACotLRUrDLdqqWlhUaPHk1ms5mmTZtGycnJRCTv7GlpaTR16tR/nHc6naTVamnPnj3CWFNTE6lUKjp37lxflNhrEhISaMWKFS5jCxYsIIPBQETyzQ6A8vLyhPc9yVlTU0MAyGKxCGtu3LhBCoWCXr161We1/66fs3enoqKCAFBDQwMRyT/7y5cvKSgoiKqrq2nEiBG0f/9+YU6q2fkKCoD29nZYrVbEx8cLYx4eHoiPj0dpaamIlfW+T58+AQD8/f0BAFarFQ6Hw2VfhIWFQa/Xy2ZfmEwmJCQkuGQE5J392rVriIqKwqJFixAYGIjIyEicPHlSmK+vr4fdbnfJPmTIEMTExPT77FOmTEFBQQGePn0KALh//z5KSkowe/ZsAPLO3llPcpaWlkKtViMqKkpYEx8fDw8PD5SXl/d5zb3p06dPUCgUUKvVAOSd3el0IikpCampqQgPD+8yL9Xs/fLDAt3t3bt36OjogEajcRnXaDR48uSJSFX1PqfTiZSUFMTFxWHcuHEAALvdDm9vb+Gg/UGj0cBut4tQpXudP38eNpsNFouly5ycsz979gw5OTnYuHEjtm7dCovFgvXr18Pb2xtGo1HI190x0N+zb9myBc3NzQgLC4Onpyc6Ojqwc+dOGAwGAJB19s56ktNutyMwMNBlXqlUwt/fX1b7oq2tDWlpaUhMTBQ+ME/O2bOysqBUKrF+/fpu56WanRuUP5jJZEJ1dTVKSkrELqVPvHjxAsnJyTCbzfDx8RG7nD7ldDoRFRWFXbt2AQAiIyNRXV2NY8eOwWg0ilxd77p48SJyc3Nx9uxZhIeHo6qqCikpKdDpdLLPzrpyOBxYvHgxiAg5OTlil9PrrFYrDh48CJvNBoVCIXY5/wr/iQfAsGHD4Onp2eVpjbdv30Kr1YpUVe9at24d8vPzUVRUhODgYGFcq9Wivb0dTU1NLuvlsC+sVisaGxsxceJEKJVKKJVKFBcX49ChQ1AqldBoNLLNPnz4cIwdO9ZlbMyYMXj+/DkACPnkeAykpqZiy5YtWLJkCSIiIpCUlIQNGzYgMzMTgLyzd9aTnFqttsuDAd+/f8eHDx9ksS9+NCcNDQ0wm83C1RNAvtnv3r2LxsZG6PV64bzX0NCATZs2ISQkBIB0s3ODAsDb2xuTJk1CQUGBMOZ0OlFQUIDY2FgRK3M/IsK6deuQl5eHwsJChIaGusxPmjQJXl5eLvuitrYWz58/7/f7Yvr06Xj48CGqqqqEV1RUFAwGg/C1XLPHxcV1eZz86dOnGDFiBAAgNDQUWq3WJXtzczPKy8v7ffbW1lZ4eLie6jw9PeF0OgHIO3tnPckZGxuLpqYmWK1WYU1hYSGcTidiYmL6vGZ3+tGc1NXV4datWwgICHCZl2v2pKQkPHjwwOW8p9PpkJqaips3bwKQcHbRbs+VmPPnz5NKpaLTp09TTU0NrVq1itRqNdntdrFLc6s1a9bQkCFD6Pbt2/TmzRvh1draKqxZvXo16fV6KiwspHv37lFsbCzFxsaKWHXv6fwUD5F8s1dUVJBSqaSdO3dSXV0d5ebm0oABA+jMmTPCmt27d5NaraarV6/SgwcPaO7cuRQaGkpfv34VsfLfZzQaKSgoiPLz86m+vp4uX75Mw4YNo82bNwtr5JK9paWFKisrqbKykgDQvn37qLKyUnhSpSc5Z82aRZGRkVReXk4lJSU0evRoSkxMFCtSj/0qe3t7O82ZM4eCg4OpqqrK5dz37ds3YRtyzN6dn5/iIZJmdm5QOjl8+DDp9Xry9vam6OhoKisrE7sktwPQ7evUqVPCmq9fv9LatWtp6NChNGDAAJo/fz69efNGvKJ70c8NipyzX79+ncaNG0cqlYrCwsLoxIkTLvNOp5PS09NJo9GQSqWi6dOnU21trUjVuk9zczMlJyeTXq8nHx8fGjlyJG3bts3lF5NcshcVFXV7fBuNRiLqWc73799TYmIiDRo0iPz8/Gj58uXU0tIiQpp/51fZ6+vr//HcV1RUJGxDjtm7012DIsXsCqJO/06RMcYYY0wC+B4UxhhjjEkONyiMMcYYkxxuUBhjjDEmOdygMMYYY0xyuEFhjDHGmORwg8IYY4wxyeEGhTHGGGOSww0KY4wxxiSHGxTGGGOMSQ43KIwxxhiTHG5QGGOMMSY53KAwxhhjTHL+BgqoQLZ+pVaIAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "k = 50\n",
    "plt.plot(pred_fail[k,:],label='predicted')\n",
    "plt.plot(all_y[k],label='true')\n",
    "plt.plot(base_pred[k],label='baseline')\n",
    "plt.legend()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "oeFL3HnQB6NZ"
   },
   "source": [
    "To get a measure of perfomance, we compute the RMSE: "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "NKMLIflYB6Na"
   },
   "outputs": [],
   "source": [
    "def RMSE(pred_fail, all_y):\n",
    "    return np.sqrt((pred_fail-all_y)**2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "yAnsK8GxB6Nc"
   },
   "outputs": [],
   "source": [
    "res= RMSE(pred_fail,all_y)\n",
    "res_base = RMSE(base_pred,all_y)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "mrToJiZTB6Ne"
   },
   "source": [
    "The RMSE error is the distance between the esimation and the true line above. It is constant for the baseline and should decrease as we get more and more data with our model. Here is an example on the particular exmaple above:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "VaCpHTDvB6Ne"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7f9584303f10>]"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(res[k])\n",
    "plt.plot(res_base[k])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "9sta7kgwB6Ng"
   },
   "source": [
    "Below, I am averaging the RMSE over the dataset keeping the time axis (note that each point is an average but not with the same number of samples).\n",
    "\n",
    "We see that the RMSE of the baseline is very bad for long sequences. This should be expected as these long sequences corresponds to healthy engines!\n",
    "\n",
    "To the contrary, our model get a decreasing RMSE as a function of the length of the input sequence.\n",
    "\n",
    "![](https://raw.githubusercontent.com/mlelarge/dataflowr/master/PlutonAI/img/rmse.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "7edZe3XAB6Nh"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7f95842f9c40>"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(np.nanmean(res,0), label = 'RMSE')\n",
    "plt.plot(np.nanmean(res_base,0), label ='RMSE baseline')\n",
    "plt.legend()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "3MypycQKB6Nj"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "32.055213042642514"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.nanmean(res)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "K7w8lxubB6Nk"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "36.534097434331095"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.nanmean(res_base)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "31ozUyp1B6Nm"
   },
   "outputs": [],
   "source": [
    "last_indices = list((~np.isnan(res)).sum(axis = 1) - 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "XvMJJAvtB6No"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "20.554718994108086"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.mean([res[i,j] for i,j in enumerate(last_indices)])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "MAF4CPtQB6Nq"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "34.1034"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.mean([res_base[i,j] for i,j in enumerate(last_indices)])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "JoFkoNORB6Ns"
   },
   "source": [
    "Above we see that we divided the RMSE by more than 2 compare to the baseline.\n",
    "\n",
    "Here we do a scatter plot of the predictions vs true values for the baseline method (closer to the diagonal in blue is better):\n",
    "\n",
    "![](https://raw.githubusercontent.com/mlelarge/dataflowr/master/PlutonAI/img/base_scatter.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "65JosTRLB6Ns"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 600x600 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot = sns.jointplot(x=[all_y[i,j] for i,j in enumerate(last_indices)],y=[base_pred[i,j] for i,j in enumerate(last_indices)],dropna=True,kind=\"kde\", n_levels=30, color=\"g\");\n",
    "plot.ax_joint.plot([0,150], [0,150], 'b-', linewidth = 2);\n",
    "plot.set_axis_labels('true', 'predicted');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "JZ2KXoo8B6Nu"
   },
   "source": [
    "Now we do the same scatter plot with our model (colser to the diagonal in blue is better). We see a great improvement.\n",
    "\n",
    "![](https://raw.githubusercontent.com/mlelarge/dataflowr/master/PlutonAI/img/model_scatter.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "I1-qdjrkB6Nu"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 600x600 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot = sns.jointplot(x=[all_y[i,j] for i,j in enumerate(last_indices)],y=[pred_fail[i,j] for i,j in enumerate(last_indices)],dropna=True,kind=\"kde\", n_levels=30, color=\"g\");\n",
    "plot.ax_joint.plot([0,150], [0,150], 'b-', linewidth = 2);\n",
    "plot.set_axis_labels('true', 'predicted');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "C8AUCEBYB6Nx"
   },
   "source": [
    "[![Dataflowr](https://raw.githubusercontent.com/dataflowr/website/master/_assets/dataflowr_logo.png)](https://dataflowr.github.io/website/)"
   ]
  }
 ],
 "metadata": {
  "accelerator": "GPU",
  "colab": {
   "include_colab_link": false,
   "name": "11_Predictions_RNN_empty.ipynb",
   "provenance": []
  },
  "kernelspec": {
   "display_name": "dldiy",
   "language": "python",
   "name": "dldiy"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}
